ZelC Ecosystem - At the Center of Cybersecurity Operations

Rocheston ZelC Language

The Cybersecurity Programming Language for the Modern Era 🔥

ZelC Feature

🧠 What is ZelC?

ZelC is Rocheston's new modern cybersecurity programming language invented by Haja Mo— built specifically for the agentic era. It is not a framework, not a library, and not a script you glue onto other tools. ZelC is a real language designed for one mission: turn security intent into safe, verifiable execution across your entire environment—cloud, identity, endpoints, network, DevSecOps, and compliance—while producing evidence automatically.

Why ZelC exists

Modern security operations are no longer "write code and deploy an app." Security today is continuous operations under pressure: detect threats, correlate signals, isolate systems, rotate credentials, contain breaches, preserve forensic data, restore services, notify stakeholders, and prove every action to auditors, regulators, and legal teams.

Traditional languages can do these tasks, but they treat them as scattered API calls and side effects. That creates brittle automation, inconsistent runbooks, missing evidence, and workflows only a few people truly understand. ZelC exists to eliminate that gap.

ZelC is cybersecurity-native

General-purpose languages treat security as something you bolt on with SDKs, YAML, and glue scripts. ZelC treats security as the native domain of the language. Actions read like security actions, not generic functions. Policies and intent are explicit. Guardrails are built into the execution model, so operations are safer by default and easier to review at high speed.

🤖 Intent-first, agent-ready

ZelC is built for "intent in, outcomes out." Humans can write clear, structured ZelC playbooks—and AINA can execute them as an agentic operator. Instead of hand-stitching integrations, you state the objective, constraints, and required proof.

ZelC is designed to be speakable, auditable, and capability-gated, so agentic workflows can run safely without creating hidden chaos.

📝 Evidence is automatic

In real security, the job isn't finished when the script runs. It's finished when you can prove what happened. ZelC makes evidence a first-class output of execution.

Every action can produce an immutable record: timestamps, attribution, chain-of-custody, cryptographic receipts, and compliance mapping—so evidence packs are generated as you operate, not months later in panic.

🌍 Built for multi-everything environments

Security teams don't operate in one vendor's world. You operate across multiple clouds, multiple identity providers, multiple security tools, ticketing systems, and compliance frameworks. ZelC is designed to unify that reality with one operational model—so your workflows stay portable, consistent, and maintainable even as your environment evolves.

🛡️ Made for the SOC, not the lab

ZelC is designed to be readable at 2am, during active incidents, when clarity matters more than cleverness. Clear blocks, explicit intent, and structured execution reduce cognitive load for operators and reviewers. The goal is simple: faster containment, fewer mistakes, and stronger proof.

🔥 ZelC inside Zelfire

ZelC is being integrated into Rocheston Zelfire to power real security operations: threat response, orchestration, incident containment, posture validation, and evidence generation. This means ZelC is not an academic experiment—it's built to survive production reality and deliver operational outcomes.

If you want cybersecurity to move from scripts and hope to intent, execution, evidence,
ZelC is that next foundation.

⚡ Launch ZelC Terminal

🧩 Why ZelC Exists

Traditional languages (C++, Python, JS) are powerful — but they don't "speak security." In cybersecurity you don't want raw strings, fragile scripts, or glue code chaos.

You want:

🚨 alerts
🧠 correlation
🛡️ containment
📌 tickets
🧾 evidence
🌍 cloud posture
🧬 supply-chain integrity
🔐 zero trust
📡 5G + edge defense
⚛️ post-quantum readiness
⛓️ provenance and receipts

ZelC is built for that reality.

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⚡ What Makes ZelC Different

🛡️ Capability-First Permissions

ZelC code can't touch network/files/IAM/cloud/EDR unless the permission is explicitly provided. No hidden powers. No silent access. No mystery behavior.

🧪 Taint-Tracked Data Flow

Untrusted input is treated as untrusted until cleaned and verified. No accidental injection paths. No "oops" command strings.

🧾 Evidence Objects Are First-Class

Every decision and remediation can produce an evidence record with hash + provenance. So every run becomes audit-ready.

🧰 SOC-Native Primitives

ZelC is built around security types and workflows:
IP, CIDR, Hash, UserId, IOCSet, Incident, Timeline, EvidencePack, RiskScore, ControlId

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⚔️ Definitive Technical Comparison

ZelC vs. Python: The Technical Showdown

The engineering deep dive that answers: "Why can’t I just use Python?" — with concrete, line‑by‑line differences in safety, auditability, and operational control.

📊 1. High‑Level Comparison Matrix

Feature 🐍 Python / Bash 🛡️ ZelC (Rocheston)
Primary Design Goal App Development & Data Science Kinetic Security Operations
Execution Model Unrestricted (Can do anything) Gated (Read‑Only by default)
Safety Architecture None (Developer writes checks) Kinetic Blocks (do...end enforcement)
Audit Trail Text Logs (Mutable, Deletable) Evidence Objects (Immutable, Crypto‑Signed)
AI Safety Prompt Engineering (Hope & Pray) Intent Validation (Compiler Contracts)
Cloud Integration External Libraries (boto3, azure-sdk) Native Primitives (cloud.aws, cloud.azure)
Compliance Manual Reports (After the fact) Real-Time Proof (Generated at runtime)

🔬 2. Deep Dive: Code‑Level Comparisons

🛑 Scenario A: The “Fat Finger” Disaster

Task: Block a suspicious IP. Risk: Accidentally blocking internal networks or DNS.

❌ Python (Fragile)
import iptc  # Third-party library (might be deprecated)


def block_ip(ip):
    # DANGER: No validation. If ip is "127.0.0.1" or "0.0.0.0/0",
    # you just killed the server.
    chain = iptc.Chain(iptc.Table(iptc.Table.FILTER), "INPUT")
    rule = iptc.Rule()
    rule.src = ip
    rule.target = iptc.Target(rule, "DROP")
    chain.insert_rule(rule)  # EXECUTES IMMEDIATELY
✅ ZelC (Safe by Construction)
intent BlockThreat {
  -- 1. CONSTRAINT: Compiler forbids blocking these ranges
  exclude_scope: [localhost, internal_subnets, gateway]
}

define block_threat(target_ip)
  -- 2. SAFETY CHECK: Analysis is free
  set risk = threat_intel.lookup(target_ip)

  when risk > critical
    -- 3. KINETIC BLOCK: The only place action happens
    do
      -- Runtime checks 'intent' constraints here.
      -- If target_ip is safe-listed, this fails safe.
      firewall block ip target_ip
    end
  end
end

Win: ZelC prevents the fat‑finger mistake before execution via compiler‑enforced constraints.

📝 Scenario B: The “Lost Log” Incident

Task: Revoke access and prove when it happened. Risk: Logs missing or altered.

❌ Python (Unverifiable)
def revoke_access(user):
    try:
        ldap.delete(user)
        # TRAGEDY: If the script crashes here, no log exists.
        # Or, a rogue admin can delete this line from audit.log.
        with open("audit.log", "a") as f:
            f.write(f"Deleted {user} at {time.now()}\n")
    except:
        pass
✅ ZelC (Forensic Grade)
define revoke_access(user)
  do
    -- ATOMIC: Action and evidence are linked.
    identity revoke user.id

    -- Auto-anchored to Rosecoin Blockchain
    evidence record "User Termination" details {
      subject: user.id,
      reason: "Data Theft",
      compliance_tag: "GDPR.Art.17"
    }
  end
end

Win: Proof is transactional. If evidence fails, the action rolls back.

🤖 Scenario C: The “Hallucinating AI”

Task: AI agent responds to high CPU. Risk: Kills production database.

❌ Python (Uncontrolled)
# AI generates this:
import os
# "To lower CPU, I will kill the most intensive process"
os.system("kill -9 $(pgrep postgres)")
✅ ZelC (Intent‑Gated)
-- 1. The Human Defines the Sandbox
intent FixCpuLoad {
  allowed_actions: [service.restart, cache.clear]
  prohibited_actions: [process.kill, system.shutdown]
}

-- 2. AI must cite the Intent
agent_action "optimize_performance" using FixCpuLoad
  -- If AI writes 'process.kill', compiler rejects it.
  do
    service restart "web-server"
  end
end

Win: AI can be smart, but is physically unable to be dangerous.

🏗️ 3. Architectural Differences

Python Architecture ZelC Architecture
Runtime Interpreter: Reads line, executes line. Kinetic Engine: Analyzes Intent and Impact pre‑execution.
Permissions OS Level: Root script is God. Capability Level: Only explicit Intent grants apply.
Data Types Strings, Integers, Lists. Strings, Integers, IPs, Subnets, Evidence, Users, CVEs.
State Transient (lost on exit). Provenanced (variable history is tracked).

💰 4. The Economic Argument (ROI)

Why switching to ZelC saves money:

🏁 Summary for the CTO

Python is a Swiss Army Knife — great for many things, master of none in high‑stakes SOC operations. ZelC is a Scalpel — purpose‑built for surgical, auditable, AI‑safe security actions where failure is not an option.

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💡 Inventions in ZelC

The Problem → The Solution → The Manifesto

Closing the Kinetic Gap with safety, evidence, and intent‑gated execution designed for agentic AI.

🚫 The "Kinetic Gap"

Why General-Purpose Languages Are Failing Security

For 40 years, we have accepted a dangerous premise: that security automation should be written in languages designed for building calculators and web servers.

  • Python is Unsafe by Default: A script running as root creates no distinction between rotating a key and deleting a database.
  • Evidence is an Afterthought: Audit trails are text logs that can be deleted, spoofed, or ignored.
  • AI Agents are Dangerous: If an LLM hallucinates a command in Python, it executes. There are no guardrails.

We didn't need a better script. We needed a new physics.

🛡️ Innovation #1: Kinetic Safety

The End of "Oops." In ZelC, destructive actions are impossible unless explicitly encapsulated in do blocks. The language enforces a "Read-Only by Default" execution model.

❌ The Old Way (Python)
# DANGEROUS: No safety boundaries
import boto3

# This can delete production DB just as easily as it rotates a key
# ZERO distinction between operations
ec2 = boto3.client('ec2')
ec2.terminate_instances(InstanceIds=['i-prod-critical'])

# Result: Production is gone.
✅ The ZelC Way
check SecurityResponse
  -- SAFE ZONE: Analysis Only
  -- AI agents explore freely. No side effects.
  analyze threat_indicators
  
  when risk_score > 90
    -- KINETIC ZONE: Gated Actions
    -- Requires explicit capability grant.
    do
      firewall block ip threat.source
      evidence record "Threat blocked"
    end
  end
end
ZelC Kinetic Safety

📝 Innovation #2: Evidence-as-a-Primitive

The Compiler is Your Auditor. ZelC treats evidence as a native data type, not a string. Every kinetic action automatically generates a cryptographic receipt anchored to the Rosecoin blockchain.

❌ The Old Way (Logging)
import logging

# Evidence = text logs
# Can be deleted. Can be tampered with.
logging.info(f"Blocked IP {ip_addr}")

# Verdict: Good luck proving this in court.
✅ The ZelC Way
evidence {
  action: "firewall_block"
  target: ip_address
  timestamp: now()
  
  -- Automatic features:
  chain_of_custody: true
  crypto_signature: auto
  ledger_anchor: rosecoin
  
  compliance_mapping: ["NIST.IR-4", "SOC2.CC7.2"]
}
Unchecked Flow (contrast)

🎯 Innovation #3: Intent Validation

Guardrails for the AI Era. The intent block acts as a contract, preventing AI hallucinations from executing dangerous logic.

❌ The Old Way (Unchecked AI)
# AI Agent generates code -> Runtime executes it
def isolate_hosts(hosts):
    # What if AI passes 1000 hosts?
    # What if it's production?
    for host in hosts:
        shutdown(host)  # YOLO
✅ The ZelC Way
intent Isolate {
  category: containment
  risk_level: medium
  
  constraints {
    max_targets: 10
    time_limit: 2h
    requires_approval: auto
  }
}

-- AI-generated code is validated against constraints
-- BEFORE execution begins.

📜 "When Code Stops Being Written—and Starts Being Spoken."

"The industry has been trying to solve 21st-century security problems with 20th-century tools. We are asking AI Agents to defend our infrastructure, but we are forcing them to write Python—a language that has no concept of safety, evidence, or containment.

I created ZelC to solve the 'Kinetic Gap.' An AI Agent needs a language that prevents it from accidentally destroying the environment it is trying to protect. ZelC is that language. It is the safety layer for the Age of Agentic AI."

— Haja Mo, Inventor of ZelC

📈 Strategic Impact

Strategic Impact: The ROI of ZelC

−80%
Audit prep time via
zelc export evidence
400 ms
Ransomware containment
(detect → isolate → prove)
✅
Vendor‑agnostic
Switch tools/clouds without rewriting automations
↓
Turnover
From API mechanics to Defense Architects
For CISOs & VPEs

Beyond the Code: The Business Case for ZelC

Innovations are only useful if they solve business problems. ZelC doesn't just change how you write code; it changes the economics of your security operations.

💰 1. The "Vendor Neutrality" Dividend

Problem Every security vendor (Microsoft, AWS, CrowdStrike) wants to lock you into their ecosystem. Their automation tools only work well within their own walls.
Cost Redundant tools and headcount dedicated to translating between Azure Sentinel and AWS Security Hub.
ZelC Advantage ZelC is the "Switzerland" of Security — every cloud and tool is a first‑class citizen.
Result Swap EDR vendors or clouds without rewrites. Your logic lives in ZelC, not vendor‑locked tools.
"Own your logic. Rent your tools."

📉 2. Collapsing the "Compliance Tax"

Problem Compliance (SOC2, ISO 27001, HIPAA) is a manual scramble with interviews and log‑digs.
Cost Hundreds of engineering hours lost to audit prep annually.
ZelC Advantage Compliance as Code — actions are ledger‑anchored; prep becomes zelc export evidence.
Result Shift from point‑in‑time to continuous compliance. Auditors get math‑verifiable proof; engineers return to roadmap work.

🧠 3. Solving the "Burnout Crisis"

Problem SOC analyst tenure < 24 months; 80% time on "Data Janitor" work.
Cost Institutional knowledge exits every two years.
ZelC Advantage Clean primitives (contain, remediate, snapshot) elevate roles to Defense Architects.
Result Higher satisfaction, lower turnover, and focus on threat hunting over glue‑code triage.

🚀 4. Use Case: "The 30‑Second Ransomware Defense"

(This replaces abstract claims with a concrete story)

Scenario: An endpoint in the Finance Subnet creates 500 encrypted files in 10 seconds.

Without ZelC

  1. Alert fires to SIEM.
  2. Analyst sees it (10 mins later).
  3. Analyst logs into EDR console to isolate host.
  4. Analyst logs into AWS console to snapshot disk.
⏱️ 15–30 min
💥 Entire subnet encrypted

With ZelC

  1. AINA detects velocity > 50 files/sec.
  2. ZelC executes intent RansomwareContainment.
  3. Kinetic Action:
    • endpoint.isolate(target) (Instant)
    • network.block_subnet(finance) (Prevent spread)
    • evidence.record(snapshot) (Preserve proof)
⚡ 400 ms
🧯 Damage: 1 laptop

💡 Visual: The Tiered Defense Model

Layer Tooling Role
Layer 1 (Detection) Splunk, CrowdStrike, Datadog The Eyes (They see the problem)
Layer 2 (Intelligence) AINA (AI Agent) The Brain (Decides what to do)
Layer 3 (Action) ZelC The Hands (Executes the fix safely)
Layer 4 (Proof) Rosecoin The Memory (Proves it happened)
Does this distinction make sense? It focuses on Money, People, and Speed, avoiding repetition from the technical Innovations.
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🛡️ Technical Specification

Safety & Architecture: Under the Hood

ZelC Gated Execution Architecture

Is ZelC Interpreted or Compiled?

Verdict: ZelC is a JIT-Compiled Language with a Hardened Runtime.
It behaves like Python but runs with the safety guarantees of Rust.

  • Developer Experience (Python-like): Write scripts, run instantly, hot‑reload — no long compile steps. Critical for AI Agents generating code on the fly.
  • Execution Model (Rust-like): The ZelC Guard (VM) compiles intent to bytecode and runs Pre‑Flight Checks before any instruction executes.

🔒 Memory Safety & Pointers

"The End of Buffer Overflows"
Security tooling in C/C++ often fails due to memory errors. ZelC eliminates this class entirely.

Feature 🐍 Python ⚙️ C++ 🛡️ ZelC
Pointers No raw pointers Manual (Dangerous) None (Managed References)
Memory Leaks Possible (GC Cycles) Frequent (Manual free) Impossible (Scope‑Bound)
Buffer Overflow Rare (Runtime Error) Catastrophic (Segfault) Impossible (Bounds Checked)

1. No Raw Pointers

No pointer arithmetic. No malloc/free. AI agents cannot read outside their sandbox. All references are managed.

2. The "Scope‑Bound" Memory Model

Memory ties to the Kinetic Block. When a check or do scope ends, memory is reclaimed.

  • Scenario: Agent scans 10,000 files.
  • Python: Memory grows until GC or crash.
  • ZelC: On do exit, memory is vaporized — Zero Memory Leaks for ops tasks.

🧱 The 3 Layers of Safety

Most languages stop at type safety. ZelC adds memory and kinetic safety.

Layer 1
Type Safety
The Compiler
  • Prevents: Nonsense ops (e.g., String + Integer).
  • Innovation: Semantic Types — no passing String to IP_Address.
block_firewall("Hello World") → Compiler Error
Layer 2
Memory Safety
The Runtime
  • Prevents: Overflows, use‑after‑free, leaks.
  • Innovation: Rust VM with strict ownership across agents/threads.
Ownership and bounds are enforced by the VM.
Layer 3
Kinetic Safety
The Guard
  • Prevents: Logical disasters (e.g., Delete All Servers).
  • Innovation: Kinetic Guard validates Intent before execution.
Scenario: Agent tries to reboot 500 servers → Guard: Intent limit is 10 → Execution Blocked.

⚡ Performance: Python vs. ZelC

  • Python: Slow start, slow execution (GIL).
  • ZelC: Instant start, highly concurrent.
  • ZelC uses an Actor Model (Erlang/Elixir‑like). Each check runs in its own lightweight thread. Run 1,000 concurrent checks without CPU thrash.

Summary for the Skeptic

  • “Is it like Python?” Yes, it reads like Python and runs instantly.
  • “Is it unsafe like Python?” No — no pointers, no leaks, strict types.
  • “Can I crash the VM?” No — the Kinetic Guard isolates every execution.
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LLM Hallucination Risk Illustration
🎨 Visual Syntax

Colorful Code: A Visual Treat for the Operator

Semantic visuals that boost cognitive speed under pressure. Optional, but designed for 3 AM clarity.

No Programming Language Has Ever Looked This Stunning.

Why should security code be a wall of grey text? ZelC introduces Semantic Visuals—a syntax that uses color and iconography to make code readable at a glance. It isn't just aesthetic; it's Cognitive Speed. In a 3 AM firefight, you don't read text. You recognize shapes. ZelC leverages this to help you parse threat logic instantly.

⚡ See the Difference

The ZelC Visual Mode (Optional but Recommended)

ZelC Visual Mode
-- 🎨 ZelC Visual Syntax: ON

🔥 check RansomwareDefense
  -- Integrations are instantly recognizable
  ☁️ on cloud.aws.guardduty
  🐙 on git.repo.changes

  -- Logic jumps off the screen
  ⚠️ when threat.velocity > CRITICAL_LIMIT
    
    🚨 alert security_team "IMMEDIATE ACTION REQUIRED"

    -- The Kinetic Block is visually distinct
    🛡️ do
      ⛔ block ip event.source_ip
      🧊 isolate host event.hostname
      
      -- Evidence is clearly marked
      📝 evidence record "Kinetic Containment" {
        🆔 id: event.id
        📸 snapshot: true
        🔒 chain_of_custody: rosecoin
      }
    end

    ✨ update ticket.status = "CONTAINED"
  end
end

🧠 Why This Matters

⚡
Instant Scanning
Locate ⛔ block at a glance — no line‑by‑line reading in a crisis.
🛡️
Error Prevention
A 💀 kill outside 🛡️ do looks wrong on sight — visual guardrails catch mistakes early.
🎉
Joy of Coding
Security tooling that feels modern, premium, and alive — because craft matters.

🖼️ Visual Hierarchy Guide

A quick legend to show the method behind the madness.

Icon Concept Meaning
🛡️ Kinetic Gate "Safety On/Off". The most important visual boundary in the language.
🚨 Alert "High Urgency". Signals human notification.
☁️ Integration "Cloud Native". Shows where the data is coming from (AWS, Azure, GCP).
📝 Evidence "Legal Record". Marks the generation of immutable proof.
⛔ Deny/Block "Stop Action". Immediate negative enforcement.
✨ State Change "Update". Mutating a variable or ticket status.
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🎨 ZelC Looks Modern (SOC Dashboard Vibe)

ZelC code is structured into sections that tooling renders as colored blocks:

🟦 CHECK
detection + logic
🟪 DO
actions + remediation
🟨 EVIDENCE
compliance output
🟥 TRY/CATCH
safety + failure handling

Result: Your code reads like a SOC runbook — not a programming puzzle.

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🧠 Emoji-Native Security (Because Humans Run SOCs)

ZelC supports emojis in:

🚨

alert messages

🔥

containment messages

🧾

audit trail notes

✅

completion signals

Optional, but powerful:

  • ⚡ faster scanning
  • 📖 better readability
  • ✨ modern operator UX
emoji_examples.zc 
alert critical message "🚨 Possible key leak detected"
notify slack channel "#soc" message "🔥 Containment started"
evidence record "🧾 Evidence pack anchored"
ticket close "✅ Incident closed"
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🌍 ZelC Covers the Entire Cybersecurity Universe

ZelC vocabulary is designed to cover EVERYTHING in cybersecurity:

🛡️ SOC + Incident Response + SOAR
🧾 Compliance / GRC / Evidence / Audits
☁️ AWS + Azure + GCloud security posture
🧬 DevSecOps: SAST / DAST / SCA / SBOM
🔒 Zero Trust: ZTNA, conditional access
🌐 Web app + API attacks and defenses
🦠 Malware + endpoint response
🔎 Threat intel enrichment + IOC sharing
🧩 DFIR + chain of custody + evidence
🐧 Linux ops + Apache/Nginx
🐳 Docker + Kubernetes + service mesh
🏭 OT/ICS security: SCADA/PLC
📱 Mobile security + MDM/MTD
🧩 Browser security: CSP, SameSite, SRI
🔐 PKI + crypto + certificates
⚛️ Post-quantum readiness (PQC)
📡 5G + Edge + MEC security
⛓️ Blockchain-grade provenance + receipts
📶 Wireless + IoT + firmware signing
🧯 Resilience / DR: RPO/RTO, backups
🤖 AI security governance: guardrails

If it's cybersecurity — ZelC has a word for it.

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🧰 ZelC Toolchain (Real Language Feel)

Command: zelc

Extension: .zelc

⚙️ zelc run

run a ZelC program

🎨 zelc fmt

format code

🧪 zelc test

run tests

🧱 zelc init

new project

📦 zelc pkg

packages

📚 zelc doc

generate docs

🛡️ zelc guard

security lint + taint verification

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🔥 Rocheston-Native Integration

ZelC is built to power the entire Rocheston ecosystem:

🔥 Zelfire

SOC operations + containment execution

🍜 Noodles

evidence packs + dashboards + reports

🤖 AINA

explain, correlate, recommend, generate reports

📘 RCF

map controls, verify evidence, close gaps

⛓️ Rosecoin

anchor evidence, notarize reports, verify receipts

🎓 RCCE

training labs, scorecards, certification workflows

ZelC is not a standalone experiment.
ZelC is the language layer of the Rocheston security universe.

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✅ ZelC in One Glance

quick_example.zc 
check CloudKeyLeakResponse
  set repo = "rocheston/zelfire"

  when access_key_leak or secret_leak
    alert critical message "🚨 Possible cloud key leak"
    notify slack channel "#soc" message "🔥 Rotating keys + scanning GitHub"

    do
      aws rotate keys
      github scan repo repo for secret_leak
      noodles generate evidence_pack
      rosecoin anchor evidence_pack "latest"

      evidence record "Key rotation and repo scan" details {
        repo: repo
      }
    end
  end
end
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🚀 ZelC is Rocheston Innovation

ZelC is a declaration:
Security deserves its own language.
Compliance deserves evidence by default.
Automation deserves guardrails.
The modern era deserves modern tools.

Rocheston ZelC Language 🔥

Write it. Run it. Prove it. ✅

ZelC Feature
🎯 Overview

What is ZelC?

ZelC is a domain-specific language designed specifically for cybersecurity operations, combining human-readable syntax with powerful automation capabilities for security teams.

🔒 Security First

Built-in "Safety First" pre-flight checks, taint analysis, and read-only-by-default execution model ensure your security operations never compromise security.

📝 Evidence-Based

Every action creates immutable audit trails, compliance evidence, and blockchain-anchored proof artifacts for complete operational transparency.

☁️ Cloud Native

Native integrations with AWS, Azure, GCP, Kubernetes, and major security platforms for seamless multi-cloud security operations.

🧠 AI-Powered

Integrated AINA (AI Security Governance) for threat intelligence, anomaly detection, and intelligent security decision-making.

⚡ Kinetic Actions

Explicit "do" blocks for state-changing operations, ensuring destructive actions are clearly visible and intentional.

⛓️ Blockchain Proof

Rosecoin integration provides cryptographic proof of operations, timestamps, and immutable evidence chains for compliance.

ZelC Feature
🎨 Visual Language

Visual Grammar & Metaphors

ZelC uses a Visual HUD Protocol with marginal icons to identify scopes and actions, abandoning traditional syntax in favor of intuitive visual indicators.

PROTOCOL: Visual indicators replace braces and semicolons
PHILOSOPHY: Code structure should be immediately visible
BENEFIT: Reduced cognitive load for security analysts
Icon Name Keywords Description
⭕️ Scope Open check, while, when Initiates a new logical block - the scope is "hot" and active
🔴 Scope Close end Terminates the current block - sealed and "cold"
⚡ Kinetic do State-changing operations (write, delete, block, ban)
🔹 Static set, keep Read-only or memory operations
📦 Manifest Open { Opens a structured data container
🛑 Manifest Seal } Closes/seals a data container
⚙️ Config keep, const Immutable system constants

Domain Module Indicators

Module Icon Usage
AINA (AI) 🧠 analyze, correlate - Deep Learning operations
ROSECOIN ⛓️ anchor, verify - Blockchain proof
CLOUD ☁️ aws, azure, gcp - Infrastructure
SECURITY 🔒 iam, access, lock - Permissions
ALERTS 🚨 alert critical - P0 interrupt
EVIDENCE 📝 evidence record, audit log - Compliance
DEFENSE 🚧 block, contain - Blast radius limits
DEBUG 🐞 trace, catch - Error handling
NOTIFY 🔔 message, ping - Operator awareness
CAUTION ⚠️ warn, dry_run - Pre-flight safety
HAZARD ☢️ nuke, sanitize - Hazardous ops
📂 ZFS

THE ZELC FILE SYSTEM (ZFS)

🛑

Text is slow in crises.

⚡

Emoji‑Native Kinetic Semantics.

🎯

Instant intent + risk.

👀

You don’t read ZelC — you see it.

UPDATE: Content includes the 🐯 Tiger classification (adversary simulation) where applicable.

1. THE KINETIC STANDARD

ZelC files are strictly typed by their operational physics. The compiler enforces behaviors based on these visual markers.

⚡ The Core (The Machine)

Extension Context The Kinetic Meaning
.⚡ Source Code Kinetic Energy. The live wire. Active code that can change state. Treated as “High Voltage.”
.⚙️ Constraints The Governor. Defines blast radius, rate limits, and safety boundaries.
.🔑 Secrets The Ignition. Keys to unlock kinetic action. Compiler auto‑adds to .gitignore.

🛡️ Defense & Evidence (The Guardrails)

Extension Context The Kinetic Meaning
.🔒 Lockfile The Anchor. Frozen supply chain dependencies; keeps build “weight” stable.
.📼 Evidence The Black Box. Immutable audit recordings; kinetic actions write to a .📼 tape.
.🧪 Tests The Lab. Sterile checks; runs in a disconnected vacuum, never touching production.

🧠 Intelligence & Ops (The Brain)

Extension Context The Kinetic Meaning
.📘 Manual The Instructions. Operator’s Handbook (SOP); replaces README.md.
.🐯 Tiger The Predator. Red Team / Adversary simulation; runs in sandboxed “Attack Mode.”
.🐞 Debug The Glitch. Crash dumps and error traces.
.📦 Cargo The Import. Sealed packages from the supply chain.

2. THE “COCKPIT” VIEW (TERMINAL EXPERIENCE)

Operators don’t read extensions under stress. ZFS provides a kinetic, visual cockpit.

Legacy View (ls -la)
config.json    (Text)
main.py        (Text)
deploy.sh      (Text)
audit.log      (Text)
ZelC Kinetic View (ls -la)
/critical_infrastructure_defense
├── main.⚡            # (Yellow)  The Engine is LIVE.
├── safety.⚙️          # (Grey)    The Limits are SET.
├── .master.🔑        # (Gold)    The Keys are LOADED.
├── flight.📼         # (Black)   The Recorder is ON.
└── attack.🐯         # (Orange)  The Simulation is READY.

3. COMPILER ENFORCEMENT

  1. Ignition Interlock: Without a valid .⚙️ Governor, .⚡ Engines do not compile.
  2. Secret Rejection: Attempts to commit .🔑 secrets to a public repo trigger a Critical Security Error.
  3. Simulation Sandbox: Code in .🐯 runs without OS write permissions, preventing real-world damage.
ZelC Feature
📚 Command Reference

Complete Command Lexicon

Every reserved keyword, soft keyword, and platform integration mapped to executable command structures. This is the authoritative reference for the ZelC programming language.

1. Core Toolchain & Compiler

The foundational binaries that drive the ZelC runtime and build process.

zelc run
Compiles the target .zc playbook into an in-memory graph and executes it immediately. Enforces "Read-Only by Default" until a do block is encountered.
# Execute a security playbook
$ zelc run security_response.zc
zelc guard
Runs the "Safety First" pre-flight check. Scans for taint violations (untrusted data reaching sensitive sinks) and capability gaps before code can be deployed.
# Verify playbook safety
$ zelc guard playbook.zc
zelc fmt
The "Dashboard Formatter." Rewrites source code to align with Rocheston's visual style guide, organizing check and do blocks into indented, colored tiers.
# Format ZelC source files
$ zelc fmt *.zc
zelc test
Executes all check blocks in "Simulation Mode." Mocks out network calls and destructive actions to verify logic without touching live infrastructure.
# Run tests in simulation mode
$ zelc test response_playbook.zc
zelc pkg install
Fetches verified dependency packs from the Rocheston Secure Registry. Verifies the cryptographic signature of the package author before unpacking.
# Install a secure package
$ zelc pkg install zelfire-core
zelc doc gen
Parses comments and function signatures to generate a static HTML "Evidence Site" documenting the security posture defined in the code.
# Generate documentation
$ zelc doc gen --output docs/

2. Flow Control & Logic

The grammar of decision-making. These primitives structure the security narrative.

check [Name]
Defines a "Security Unit." This is the container for a specific detection rule, compliance audit, or response playbook. It is the atom of ZelC logic.
check BruteForceDetection
  when login_failures > 5
    alert "Brute force detected"
  end
end
do ... end
The "Kinetic Block." This is the only zone where state-changing actions (delete, block, kill, revoke) are permitted. Outside of this block, ZelC is read-only.
when ransomware_detected
  do
    edr isolate host "endpoint-07"
    ticket open title "Ransomware containment"
  end
end
when [Condition]
A conditional gate. If the condition evaluates to true (e.g., risk_score > 90), the enclosed logic executes. Otherwise, it is skipped.
when risk_score > 90
  alert critical message "High risk detected"
end
otherwise
The fallback path. Executes if the primary when condition fails. Essential for "Default Deny" logic patterns.
when user_verified
  iam allow user
otherwise
  iam deny user
end
each [Item] in [Collection]
Iterates through a list of assets (IPs, Users, Files). Applies the logic block to every single item without exception.
each ip in suspicious_ips
  firewall block ip ip
end
try ... catch [Error]
The "Resilience Wrapper." Wraps volatile actions (like API calls). If the action fails, the catch block executes a safe fallback instead of crashing the pipeline.
try
  aws scan posture
catch err
  alert "Scan failed: {err}"
end
stop
Immediate "Hard Halt." Ceases execution of the current playbook instantly. Used when a critical safety invariant is violated.
when critical_failure
  alert critical "Safety violation"
  stop
end
wait [Duration]
Pauses execution for a specified time window. Useful for letting a service restart or waiting for a log propagation delay.
alert "Restarting service..."
linux service "nginx" restart
wait 30 seconds

3. Data & Variables

Handling memory, constants, and state in ZelC security operations.

set [Name] = [Value]
Allocates a new immutable binding. By default, variables in ZelC are locked to prevent accidental modification.
set threshold = 10
set users = ["alice", "bob"]
change [Name] = [Value]
Explicitly modifies an existing variable. Requires the variable to have been mutable from the start. Tracks the "change" event in the debug trace.
set count = 0
change count = count + 1
keep [Name] = [Value]
Defines a global constant. This value is burned into the runtime and cannot be altered by any logic path, preventing injection attacks on configuration.
keep MAX_RETRIES = 3
keep SOC_CHANNEL = "#security"
record [Name]
Defines a custom data structure (Schema). Strict typing for JSON blobs, ensuring that a "User" object always has an ID and an Email.
record Finding
  user: UserId
  ip: IP
  severity: Text
end

4. Evidence & Audit (RCF/NOODLES)

The "Proof-of-Work" for security operations. Every action leaves a trace.

evidence record
Snapshots the current state of variables and logs them into a tamper-proof evidence object. This is the "Digital Witness" to the operation.
evidence record "containment-action" details {
  host: "endpoint-07",
  action: "isolated"
}
proof make type
Constructs a formal "Proof Artifact" (e.g., a PDF report or a signed hash) derived from collected evidence. Used to satisfy auditors.
proof make type "ContainmentProof" details {
  action: "isolate",
  result: "success"
}
audit log
Writes a structured event to the immutable compliance journal. This log stream is write-only and cannot be deleted.
audit log "Security action completed" details {
  event: "containment",
  status: "success"
}
export report format
Compiles all collected evidence and logs from the current run into a human-readable file (HTML, PDF, JSON) for external consumption.
export report format "pdf" to "reports/incident.pdf"
hash verify
Computes the SHA-256 (or higher) checksum of a file or object and compares it against a known good value to detect tampering.
hash verify "evidence.json" against "sha256:abc123..."
sign artifact
Applies a digital signature to a blob of data using the system's identity key. Proves that this specific ZelC runtime authorized the data.
sign artifact "evidence-pack"

5. Notification & Communications

Getting the message to the human in the loop during security incidents.

alert critical message
The "Red Phone." Triggers the highest priority interrupt in the Rocheston Dashboard. Flashes UI elements and wakes up on-call engineers.
alert critical message "🚨 Ransomware detected on production servers"
notify slack channel
Injects a message into a Slack channel. Supports block-kit formatting to create rich, interactive mini-dashboards within the chat window.
notify slack channel "#soc" message "Brute force detected from 1.2.3.4"
notify teams channel
Posts a card to Microsoft Teams. Can include "Action Buttons" for humans to approve or deny further steps directly from the chat.
notify teams channel "Security Operations" message "Incident detected"
notify email to
Composes and sends a formatted HTML email. Supports "High Priority" headers and attachment of generated evidence reports.
notify email to "[email protected]" subject "Security Alert" body "..."
pager trigger
Fires an incident in PagerDuty or OpsGenie. Starts the escalation policy timer to ensure human acknowledgement.
pager trigger message "Critical security incident - immediate response required"
webhook to
Sends a raw JSON POST request to an external URL. Used to trigger third-party logic apps or legacy system integrations.
webhook to "https://api.example.com/alert" body {
  severity: "high",
  message: "Incident detected"
}

6. SOC Operations (ZELFIRE)

The verbs of defense: Detect, Contain, Eradicate.

block ip
Updates the edge firewall, WAF, or security group to drop all packets from a specific IP address. The "Digital Wall."
firewall block ip "192.168.1.100" for 2 hours
isolate host
Commands the EDR agent to cut network access for a specific endpoint, leaving only a management tunnel open for forensics.
edr isolate host "endpoint-07"
revoke user
Invalidates all active session tokens for a user identity. Forces a logout across all applications and requires MFA re-authentication.
iam revoke sessions user_id
kill process
Sends a SIGKILL to a specific Process ID (PID) on a remote host. Instantly terminates malicious execution.
linux kill process 1234
quarantine file
Moves a suspicious file to a secure, encrypted vault on the filesystem and strips its execute permissions.
edr quarantine file "/tmp/malware.exe"
enable account
Restores access to a locked user account. Usually automated after a successful identity verification step.
iam enable user "alice"
reset password
Triggers a "Force Password Change" flow for a user. Emails them a one-time secure link to establish new credentials.
iam reset password user_id

7. Cloud Security - AWS

Native controls for Amazon Web Services infrastructure.

aws rotate keys
Invalidates the current AWS IAM Access Keys for a user and generates new ones, creating a secure handover.
aws rotate keys user_id
ZelC Feature
aws s3 block_public
Enforces "Block Public Access" on an S3 bucket. A kill-switch for accidental data leaks.
aws s3 block_public bucket "my-bucket"
aws ec2 snapshot
Triggers an immediate volume snapshot of an EC2 instance. Preserves the forensic state of the disk before remediation occurs.
aws ec2 snapshot instance "i-1234567890abcdef0"
aws security_group revoke
Removes a specific ingress or egress rule from a security group. "Closes the port" on a live cloud firewall.
aws security_group revoke sg "sg-12345" rule "0.0.0.0/0:22"
aws cloudtrail on
Verifies that CloudTrail logging is active. If disabled, it immediately re-enables it to ensure the audit trail is unbroken.
aws cloudtrail ensure on

8. Cloud Security - Azure

Native controls for the Microsoft Cloud platform.

azure ad block_user
Toggles the "AccountEnabled" flag to false in Entra ID (Azure AD). Stops authentication at the identity provider level.
azure ad block_user "[email protected]"
azure nsg deny
Adds a high-priority "Deny" rule to a Network Security Group (NSG), effectively blackholing traffic to a subnet or VM.
azure nsg deny nsg "prod-nsg" from "1.2.3.4"
azure sentinel alert
Injects a high-fidelity incident directly into the Sentinel SIEM workspace, bypassing standard log ingestion lag.
azure sentinel alert "High severity threat detected"
azure keyvault lock
Restricts network access to a Key Vault, ensuring only specific private endpoints can retrieve secrets.
azure keyvault lock vault "prod-keyvault"

9. Cloud Security - Google Cloud (GCP)

Native controls for Google Cloud Platform infrastructure.

gcloud iam disable
Suspends a Service Account or User in GCP IAM. Halts all API calls authenticated by that principal.
gcloud iam disable serviceaccount "[email protected]"
gcloud storage private
Removes "allUsers" or "allAuthenticatedUsers" permissions from a Cloud Storage bucket. Instantly remediating public exposure.
gcloud storage private bucket "my-bucket"
gcloud compute stop
Halts a Compute Engine instance. Used to freeze a compromised server while preserving its disk state for later analysis.
gcloud compute stop instance "prod-vm-01"

10. Container & Kubernetes Security

Securing the microservices layer and container runtime.

docker stop container
Halts a running Docker container. Useful for stopping a compromised application instance without killing the host.
docker stop container "app-container-1"
docker image scan
Deconstructs a container image layer-by-layer to identify CVEs, bad binaries, or leaked secrets before it runs.
docker image scan "app:latest"
kube isolate pod
Applies a restrictive NetworkPolicy to a Kubernetes Pod. "Jails" the pod so it cannot talk to other microservices.
kube isolate pod "suspicious-pod"
kube delete pod
Destroys a pod, forcing the ReplicaSet to spawn a fresh, clean version. The "Pave and Rebuild" strategy.
kube delete pod "compromised-pod"
helm rollback
Reverts a Kubernetes deployment to the previous known-good version. Instant remediation for bad configuration pushes.
helm rollback "app-release" 1

11. DevSecOps & Supply Chain

Shift-left security: Pipeline integrity and code scanning.

github scan repo
Crawls a GitHub repository looking for high-entropy strings (secrets), hardcoded keys, or known vulnerable dependencies.
github scan repo "company/app" for secret_leak
github block merge
Interacts with the PR API to set a "Failure" status check. Physically prevents code from being merged until security issues are fixed.
github block merge pr 123
gitlab pipeline stop
Cancels a running CI/CD job in GitLab. Used when a critical vulnerability is detected mid-build.
gitlab pipeline stop job 456
sbom generate
Analyzes the build context and produces a Software Bill of Materials (SPDX/CycloneDX). Lists every library inside the app.
sbom generate format "spdx" output "sbom.json"
sign artifact
Uses Cosign or a similar tool to cryptographically sign a build artifact. Anchors the binary to the identity of the builder.
crypto sign artifact "app-v1.0.0.tar.gz"

12. AI Security Governance (AINA)

Managing the risks of Artificial Intelligence in security operations.

aina guard prompt
Scans an incoming LLM prompt for injection attacks, jailbreaks, or toxic content. Blocks it before it reaches the model.
aina guard prompt user_input
aina check output
Analyzes the text generated by an AI model. Looks for PII leakage, hallucinations, or unsafe advice before showing it to the user.
aina check output llm_response
aina explain event
Uses a specialized security LLM to read raw logs or hex dumps and generate a human-readable summary of "What happened."
aina explain event raw_logs
aina risk score
Calculates a dynamic risk integer (0-100) for a given interaction based on anomaly detection and historical behavior.
set risk = aina risk score user_activity
aina extract ioc
Reads unstructured text (like an email body) and uses NLP to pull out IP addresses, domains, and hashes into structured ZelC types.
set indicators = aina extract ioc from email_body

13. Blockchain Provenance (ROSECOIN)

Immutable truth and ledger operations for compliance and evidence.

rosecoin anchor
Takes the SHA-256 hash of an evidence pack and writes it to the Rosecoin blockchain. Creates mathematically undeniable proof of timestamp.
rosecoin anchor evidence_pack "latest"
rosecoin verify
Checks a local file's hash against the blockchain ledger. Confirms that the file is bit-for-bit identical to the original version.
rosecoin verify file "evidence.json"
rosecoin notarize
Bundles a report, signs it with the organization's identity key, and anchors the signature. Digital notary service.
rosecoin notarize report "incident_report.pdf"

14. System Administration (Linux)

The hands-on work of server management and system operations.

linux service restart
Bounces a systemd service. The classic "Turn it off and on again" for stuck daemons.
linux service "nginx" restart
ZelC Feature
linux firewall block
Updates iptables or nftables to drop traffic from a source. Host-level defense.
linux firewall block ip "1.2.3.4"
linux user lock
Modifies /etc/shadow or uses usermod to lock a local user account on a Linux server.
linux user lock "alice"
linux cron list
Enumerates all scheduled tasks on the system. Essential for finding persistence mechanisms used by malware.
linux cron list
linux file chmod
Changes the permissions of a file. Used to lock down sensitive configs (e.g., chmod 600).
linux file chmod "/etc/config.conf" 600

15. Web & Network Defense

Protecting the transport layer and the application edge.

nginx reload
Triggers a configuration reload for the Nginx web server. Applies new WAF rules or blocklists without dropping connections.
nginx reload
dns resolve
Performs a DNS lookup (A, AAAA, TXT, MX) to verify domain ownership or check for malicious redirection.
dns resolve "example.com"
http get
Sends a safe GET request to a URL. Used for health checks or verifying that a site is up/down.
http get "https://api.example.com/health"
ssl verify
Checks the TLS certificate of a remote endpoint. Validates expiry date, issuer, and chain of trust.
ssl verify "https://example.com"
ssh disconnect
Forcefully kills an active SSH connection on the gateway. Kicks out an attacker immediately.
ssh disconnect session "session-123"

16. Cryptography Operations

Protecting data at rest and in transit with modern cryptographic primitives.

crypto encrypt aes
Encrypts a data blob using AES-256-GCM. Standard military-grade protection for local files.
crypto encrypt aes file "sensitive.txt"
crypto sign ed25519
Signs a message using fast, modern Elliptic Curve cryptography. High performance authentication.
crypto sign ed25519 message data
crypto hash sha256
Generates a standard fingerprint of a file. The bread and butter of integrity checking.
crypto hash sha256 file "data.bin"
secret mask
Scans a string for sensitive patterns (Credit Cards, API Keys) and replaces them with ********.
set safe_log = secret mask raw_log
random string
Generates a cryptographically secure random string. Useful for creating temporary passwords or nonces.
set token = crypto random string length 32

17. Threat Intelligence & Malware

Hunting and analyzing the adversary with threat intelligence feeds.

threat lookup ip
Queries a threat intelligence provider (like VirusTotal or AlienVault) to see if an IP is known to be malicious.
set verdict = threat lookup ip "1.2.3.4"
malware detonate
Sends a file to a sandbox environment for behavioral analysis. Returns a report on what the file does when run.
set report = malware detonate file "suspicious.exe"
yara scan file
Scans a file against a set of YARA rules. Identifies malware based on code patterns and strings, not just hash.
yara scan file "/tmp/binary" rules "malware.yar"
feed ingest
Pulls in a list of Indicators of Compromise (IOCs) from a subscribed threat feed (STIX/TAXII) to update blocklists.
threat feed ingest source "https://feeds.example.com/iocs"

18. Compliance Mapping (RCF)

The bureaucracy of security, automated through code-to-policy mapping.

rcf map control
Tags a block of code with a specific regulatory control ID (e.g., "NIST-800-53-AC-2"). Links code to policy.
rcf map control "NIST-800-53-AC-2"
rcf drift check
Compares the live environment against the defined "Golden Standard." Alerts if configuration has drifted (e.g., someone opened a port).
rcf drift check baseline "v1.0"
rcf gap report
Generates a visual matrix showing which controls are satisfied by code and which are missing (The Gap).
rcf gap report output "reports/compliance_gap.html"

19. Rocheston Platform (NOODLES)

Visualization and reporting commands for the Rocheston dashboard.

noodles build chart
Generates a data visualization (Pie, Bar, Line) from a dataset. Embeds it into the final report.
noodles build chart type "pie" data severity_counts
noodles export pdf
Renders the current "Evidence Board" into a high-fidelity PDF document suitable for auditors or the board of directors.
noodles export pdf to "reports/incident_summary.pdf"
noodles timeline add
Inserts a significant event into the "Incident Timeline." Constructs a linear narrative of the attack and response.
noodles timeline add event "Initial breach detected" time now()

20. Post-Quantum Cryptography

Future-proofing encryption against quantum computers.

pqc encrypt kyber
Encrypts data using the Kyber algorithm (NIST selected PQC standard). Protects secrets from "Harvest Now, Decrypt Later" attacks.
pqc encrypt kyber file "sensitive.dat"
pqc sign dilithium
Signs data using the Dilithium algorithm. A quantum-resistant digital signature scheme.
pqc sign dilithium message data
pqc migration check
Scans the environment for "Classical" crypto (RSA/ECC) that needs to be upgraded to PQC standards.
pqc migration check environment

Built-In Command Phrases (Speakable Syntax)

Concise, voice-friendly phrases that map directly to executable ZelC syntax.

Alerts and notifications
alert <severity> message "<text>"
notify slack channel "<channel>" message "<text>"
notify email to "<addr>" subject "<text>" body "<text>"
notify teams channel "<channel>" message "<text>"
pager <service> message "<text>"
webhook to "<url>" body <object>
Evidence and audit
evidence record "<title>" details <object>
proof make type "<type>" details <object>
audit log "<event>" details <object>
export report format "<html|json|csv|pdf>" to "<path>"
Cloud actions (provider-first)
aws scan posture
aws s3 block_public_access bucket "<name>"
aws cloudtrail ensure on
aws disable_access_key user "<user>"
azure keyvault restrict network
azure sentinel alert "<name>"
gcloud iam disable serviceaccount "<name>"
Docker/Linux actions
docker run image "<name>" with <options>
docker logs container "<id>"
linux service "<name>" restart
linux firewall block ip "<ip>" for <duration>
apache2 reload
nginx reload
Web attack response patterns
when sqlinject then block ip for 2 hours
when xss then open ticket title "<text>"
when ssti then isolate host
GitHub/DevSecOps
github scan repo "<repo>" for secret_leak
github open issue title "<text>"
github comment pullrequest "<id>" message "<text>"
github block merge when checks fail
AI command phrases
ai summarize <events>
ai explain <finding>
ai classify <alert>
ai score <incident>
ai recommend <actions>
ai extract ioc from <text>
ai group alerts by <field>
ai correlate <events> with <intel>

Rocheston + RCCE Layer (Official Extensions)

Official product nouns, workflows, and compliance extensions integrated into ZelC.

Rocheston platform keywords (product nouns)
rocheston, zelfire, noodles, aina, rcf, rosecoin, rcce,
zelwall, zelcloud, zelaccess, zelscan, zelrank, zeldrift, zelxdr, zelsoar, zelposture, zelai, zelmap, zelexploits, zelkill
RCCE workflow words
rcce_mode, training, lab, exercise, scenario, runbook, playbook, drill,
scorecard, grade, pass, fail, instructor, student, cohort, submission,
evidence_pack, checkpoint, skills, badge, certificate
RCF compliance/control terms
rcf_domain, control_id, control_map, mapping, implement, verify,
evidence_required, evidence_found, gap, fix, waiver, exception, risk, risk_score,
maturity, baseline, drift, continuous, attestation
Noodles reporting terms
dashboard, chart, report, evidence_index, evidence_hash, snapshot,
export_html, export_pdf, export_json, audit_pack, timeline
Selfire SOC terms
signal, story, correlate, contain, respond, hunt, closeout, postmortem, lessons,
automate, orchestrate, play, replay, rollback
AINA commands
aina ask
aina explain
aina summarize
aina correlate
aina decide
aina recommend
aina write_report
aina generate_steps
aina extract_ioc
aina map_controls
aina verify_evidence
aina risk_score
aina simulate
Rosecoin commands
rosecoin anchor evidence_pack "<id>"
rosecoin notarize report "<hash>"
rosecoin verify receipt "<receipt>"
RCCE commands
rcce start lab "<name>"
rcce run scenario "<name>"
rcce grade submission
rcce generate scorecard
rcce issue certificate
rcce publish badge
RCF + Noodles commands
rcf map "<standard>" to rcf
rcf check domain "<id>"
rcf verify control "<control_id>"
noodles collect evidence from "<source>"
noodles build dashboard
noodles export report format "pdf"
noodles generate evidence_pack
Zelfire commands
zelfire ingest <events>
zelfire correlate <events>
zelfire contain incident "<id>"
zelfire isolate host "<id>"
zelfire block ip "<ip>"
zelfire revoke sessions user "<user>"
zelfire close incident "<id>"
ZelC Feature

ZelC Soft Keywords (Cybersecurity Vocabulary)

Soft keywords are reserved in keyword position only. They can still be used as identifiers in non-keyword positions if needed.

Notification & Communications

alert, notify, message, email, mail, slack, teams, pager, pagerduty, sms, call, webhook, push, broadcast, mention, channel, thread, attach, subject, title, body, to, cc, bcc, urgent, critical, high, medium, low, quiet

Logging, Reporting, Evidence & Compliance

log, trace, note, tag, label, hash, sign, verify, stamp, redact, mask, scrub, sanitize, confirm, approve, policy, control, report, export, retain, timeline, summary, details, steps, nextsteps, compliance, audit, assessor, attestation, baseline, exception, waiver, risk, risk_score, maturity, drift, gap, fix, mapping, control_id, control_map

Incident & Case Management

incident, case, ticket, open, update, comment, assign, owner, group, severity, priority, status, escalate, resolve, close

Core Security Actions (SOC Verbs)

block, allow, deny, quarantine, isolate, contain, kill, disable, enable, lock, unlock, revoke, expire, rotate, reset, patch, rollback, snapshot, restore, delete, archive, move

SIEM / EDR / IAM / Cloud Nouns

siem, edr, iam, cloud, network, dns, proxy, firewall, waf, mailbox, storage, db, kube, cluster, registry, vault, kms, hsm

Docker, Containers & Orchestration

docker, container, image, build, pull, push, tag, run, exec, shell, logs, inspect, ps, start, stop, restart, kill, rm, prune, compose, stack, service, volume, mount, ingress, namespace, deploy, rollout, scale, node, pod

VPN, Tunnels & Remote Access

vpn, tunnel, route, gateway, connect, disconnect, split, full, wireguard, openvpn, ipsec, ssh, key, knownhosts, agent, forward, jump, bastion, rdp, sftp, scp

Netcat, Sockets & Network Tooling

netcat, nc, listen, bind, port, socket, stream, packet, send, receive, relay, forward, proxy, socks, pivot, probe, banner, handshake, tls, cert, fingerprint, resolve, whois, traceroute, ping

Linux Management & System Operations

linux, kernel, process, thread, pid, signal, service, daemon, systemd, unit, status, journal, useradd, userdel, groupadd, passwd, sudo, chmod, chown, umask, acl, package, apt, yum, dnf, apk, cron, job, schedule, file, folder, path, permissions, owner, mount, unmount, disk, memory, cpu, load, iptables, nftables, ufw, selinux, apparmor

Web Servers & TLS

apache, apache2, httpd, nginx, site, vhost, config, reload, rotate, http, https, headers, cookie, session, csrf, cors, ssl, certificate, chain, ca, ocsp, hsts, rewrite, redirect

Web Application Attacks & Security Testing

attack, exploit, payload, vector, bypass, inject, sqlinject, xss, csrf_attack, ssti, rce, lfi, rfi, pathtraversal, ssrf, idor, authbypass, openredirect, clickjacking, deserialization, commandinject, headerinject, bruteforce, spraying, enumeration, test, scan, assess, benchmark, fuzz, mutate, simulate, dryrun, readonly, api, endpoint, route, graphql, rest, rate_limit, apikey, signature, hmac, openapi, swagger

Malware & Threat Operations

malware, trojan, worm, ransomware, spyware, rootkit, dropper, loader, beacon, botnet, c2, callback, persistence, privilege, lateral, exfiltrate, phish, attachment, macro, lure, process_tree, inject_process, signature, yara, sigma, hunt

Steganography, Hiding & Watermarking

steganography, stego, hide, unhide, conceal, reveal, embed, extract, watermark, fingerprint, mark, obfuscate, deobfuscate, pack, unpack, covert, carrier, noise, channel, forensic_watermark, provenance_tag, ip_protection

Cryptography & Primitives

crypto, cryptography, cipher, encrypt, decrypt, keypair, publickey, privatekey, secretkey, salt, nonce, iv, seed, hash, digest, checksum, sign, verify_signature, derive, kdf, hkdf, pbkdf2, scrypt, argon2, aes, chacha20, rsa, ecc, ed25519, x25519, tls, handshake, entropy, randomness, secure_random, postquantum, pqc, kyber, dilithium, falcon, sphincs, ntru, crypto_agility, hybrid_tls, pqc_migration, pqc_inventory, invent_cipher, invent_kdf, invent_hash, safe_mode, review_required

Cloud Providers & Cloud Primitives (AWS / Azure / Google Cloud)

aws, amazon, azure, microsoft, gcloud, googlecloud, gcp, account, tenant, subscription, project, region, zone, resource, resourcegroup, tag, label, role, permission, principal, identity, user, group, serviceaccount, managedidentity, token, session, secret, keyvault, secretsmanager

AWS service words

vpc, subnet, route, gateway, nacl, securitygroup, ec2, ami, instance, volume, snapshot, s3, bucket, object, acl, publicaccess, cloudtrail, cloudwatch, alarms, lambda, ecs, ecr, eks, rds, dynamodb, guardduty, securityhub, inspector, macie, waf, shield, ssm, sessionmanager, parameterstore, organizations, sts

Azure service words

entra, aad, vnet, nsg, vm, scale_set, storage, blob, container, monitor, loganalytics, sentinel, functions, aks, acr, sql, cosmosdb, defender, defender_cloud, blueprint

Google Cloud service words

organization, folder, cloudlogging, cloudmonitoring, compute, gke, artifactregistry, bigquery, secretmanager, securitycommandcenter

Cloud-Native Threats

credential_theft, access_key_leak, secret_leak, token_theft, token_reuse, session_hijack, role_chain, role_escalation, privilege_escalation, assume_role_abuse, serviceaccount_abuse, managedidentity_abuse, suspicious_console_login, impossible_travel, new_country_login, new_device_login, mfa_disabled, mfa_bypass, password_spraying, bruteforce_login, api_spike, api_abuse, unusual_api_call, suspicious_api_call, resource_discovery, permission_probe, data_exfiltration, bucket_exfiltration, snapshot_exfiltration, log_tampering, cloudtrail_disabled, audit_log_deleted, logging_disabled, config_change, securitygroup_opened, firewall_opened, public_exposure, unencrypted_storage, malicious_lambda, malicious_function, malicious_container, registry_poisoning, image_tampering, supply_chain_attack, dependency_confusion, typosquatting, crypto_mining, mining_instance, cost_spike, billing_spike

Windows & Active Directory

windows, eventlog, sysmon, registry, powershell, wmi, winrm, gpo, activedirectory, domaincontroller, ldap, kerberos, ntlm, smb, rdp, bitlocker, defender, edr_agent

Actions

disable_user, enable_user, reset_password, lockout, unlockout, kill_process, quarantine_file, collect_memory, collect_artifacts

DevSecOps Scanning Ecosystem

sast, dast, sca, sbom, secrets_scan, container_scan, iac_scan, codeql, semgrep, trivy, grype, syft, tfsec, checkov

Infrastructure as Code

terraform, cloudformation, arm_template, bicep, kustomize, helm, yaml, json

Supply chain integrity

slsa, slsa_level, build_provenance, build_attestation, artifact_attestation, dependency_attestation, source_attestation, sigstore, cosign, rekor, fulcio, keyless_signing, transparency_log, in_toto, layout, link_metadata, attestations, sbom_signing, sbom_attestation, license_scan, license_policy, policy_gate, quality_gate, reproducible_build, hermetic_build

Zero Trust

zero_trust, least_privilege, ztna, conditional_access, rbac, abac, continuous_verification, continuous_auth, device_posture, posture_check, trust_score, risk_based_access, step_up_auth, just_in_time, jit_access, breakglass, emergency_access, policy_engine, policy_decision, policy_enforcement, policy_point, pep, pdp

DFIR / Forensics

dfir, forensics, investigation, evidence_bag, chain_of_custody, preserve, acquire, triage, artifact, log_collection, cloud_artifacts, email_artifacts, browser_artifacts, host_artifacts, integrity_check, hash_verify, signed_evidence, notarize, provenance

OT / ICS

ot, ics, scada, plc, rtu, hmi, historian, plant_network, safety_system, control_network, fieldbus, modbus, dnp3, opcua, profinet, ethernet_ip, bacnet, iec_62443, purdue_model, airgap, serial_gateway, vendor_remote_access, engineering_workstation, maintenance_window, protocol_whitelist, allowlist_control

Mobile Security

mobile, android, ios, apk, ipa, mobile_app, app_store, play_store, mdm, mtd, device_policy, device_encryption, screen_lock, biometric, root, jailbreak, sideloader, app_signing, certificate_pinning, runtime_protection, mobile_malware, overlay_attack

Browser / Client Security

browser, client, extension, plugin, cookie_theft, session_cookie, session_hijack, csrf_token, cors_policy, csp, content_security_policy, sandbox, same_origin, same_site, tabnabbing, mixed_content, referrer_policy, subresource_integrity, sri, x_frame_options, x_content_type_options, hsts_preload, phishing_page

Email Authentication / Phishing Defense

email_auth, spoofing, impersonation, spf, dkim, dmarc, bimi, mailflow, mx, smtp, imap, pop3, quarantine_mail, release_mail, detonate, sandbox, attachment_policy, link_policy, url_rewrite, safe_links, safe_attachments, inbound_filter, outbound_filter, domain_reputation, sender_reputation, lookalike_domain, typosquat_domain, user_reported_phish

Privacy Engineering & DLP

data_protection, privacy, pii, phi, pci_data, gdpr, hipaa, ccpa, dpdp, data_classification, classification, confidential, restricted, public_data, data_minimization, purpose_limitation, consent, data_subject, access_request, deletion_request, retention, legal_hold, data_residency, cross_border, tokenize, detokenize, anonymize, pseudonymize, dlp, encryption_at_rest, encryption_in_transit

Password Hardening

password, password_hash, hashing, salt, pepper, bcrypt, scrypt, argon2, password_policy, min_length, complexity, history, rotation_policy, lockout, rate_limit, throttle, mfa_required, breach_check, credential_stuffing, recovery_flow, reset_token, session_timeout

Asset Discovery / ASM / Exposure Management

asset, inventory, asm, attack_surface, exposure, external_scan, internal_scan, service_discovery, port_inventory, dns_inventory, subdomain, certificate_inventory, shadow_it, unknown_asset, internet_facing, public_endpoint, third_party, vendor, dependency, risk_register

Protocol / Service Catalog

protocol, service, dns, dnssec, dhcp, ntp, snmp, syslog, smtp, imap, pop3, ldap, ldaps, kerberos, ntlm, smb, rpc, rdp, ssh, telnet, ftp, sftp, http, https, http2, http3, quic, tls, mtls, bgp, ospf, ipsec, wireguard, openvpn, radius, tacacs, saml, oauth, oidc, jwt

Hardware / Firmware / IoT & Wireless

iot, firmware, uefi, bios, secure_boot, tpm, attestation, device_identity, device_certificate, ota_update, firmware_signing, wifi, wpa2, wpa3, ssid, access_point, bluetooth, ble, nfc, rogue_ap, wireless_ids

PKI Lifecycle

pki, ca, intermediate_ca, root_ca, csr, crl, ocsp, certificate_rotation, certificate_expiry, certificate_inventory, key_usage, key_rotation_policy, pinning

Resilience / Disaster Recovery / Operations

resilience, availability, reliability, recoverability, durability, fault, failover, fallback, degrade_gracefully, maintenance_window, rpo, rto, dr_plan, disaster_recovery, business_continuity, backup, immutable_backup, restore_test, tabletop_exercise, incident_drill, game_day

Threat Modeling & Secure Engineering Governance

threat_model, attack_tree, attack_path, data_flow, dataflow_diagram, trust_boundary, entry_point, threat, mitigation, assumption, abuse_case, misuse_case, stride, tampering, spoofing, repudiation, information_disclosure, denial_of_service, elevation_of_privilege, secure_engineering, secure_by_default, secure_coding, code_review, security_review, design_review, architecture_review, owasp, owasp_top10, owasp_asvs, asvs_level, security_requirements, security_controls, hardening, benchmark, cis_benchmark, cis_level, secure_config, configuration_policy

AI Security Governance (AINA Era)

ai_security, ai_policy, model_risk, model_governance, model_inventory, model_version, training_data, data_lineage, data_poisoning, model_poisoning, prompt_injection, jailbreak_attempt, model_exfiltration, model_leak, sensitive_prompt, unsafe_output, guardrails, safety_filter, redteam, eval, benchmark, hallucination, drift, monitoring, audit_ai, explainability, model_card, incident_ai, aina_policy, aina_guardrails, aina_audit, aina_eval, aina_safe_mode

5G / Edge / MEC

5g, edge, mec, ran, core_network, slice, network_slicing, slice_policy, slice_isolation, private_5g, base_station, gnodeb, ue, sim, esim, imsi, apn, carrier, roaming, handover, latency, qos, qci, throughput, 5g_security, ran_security, core_security, signaling, signaling_attack, diameter, gtp, gtp_tunnel, ipsec_tunnel, edge_gateway, nfv, vnf, cnf, orchestrator, zero_trust_edge, edge_firewall, edge_ids, edge_ddos

Blockchain & Provenance (Rosecoin Aligned)

blockchain, chain, ledger, block, transaction, tx, merkle, consensus, node, validator, finality, immutability, contract, smart_contract, address, wallet, token, chain_security, contract_audit, key_compromise, wallet_compromise, phishing_wallet, rosecoin, anchor, notarize, timestamp, receipt, audit_trail, evidence_anchor, evidence_receipt, verify_receipt

💻 Examples

Real-World Security Playbooks

Complete working examples demonstrating ZelC's capabilities in real security scenarios.

cloud_key_leak_response.zc 
-- ════════════════════════════════════════════════════════════
-- Cloud Key Leak Automated Response Playbook
-- ════════════════════════════════════════════════════════════

check CloudKeyLeakResponse
  keep repo = "rocheston/zelfire"
  keep channel = "#soc"

  when access_key_leak or secret_leak
    alert critical message "🚨 Possible cloud key leak detected"
    notify slack channel channel message "🔥 Rotating keys + scanning GitHub"

    do
      -- Immediate key rotation
      aws rotate keys

      -- Scan repository for leaked secrets
      github scan repo repo for secret_leak

      -- Generate compliance evidence
      noodles generate evidence_pack

      -- Anchor to blockchain for immutable proof
      rosecoin anchor evidence_pack "latest"

      -- Record evidence trail
      evidence record "Key rotation and repo scan" details {
        repo: repo,
        channel: channel,
        timestamp: now()
      }

      -- Audit log entry
      audit log "ZelC run completed" details {
        action: "rotate+scan",
        repo: repo
      }
    end
  end
end
brute_force_defense.zc 
-- ════════════════════════════════════════════════════════════
-- Brute Force Detection and Automated Response
-- ════════════════════════════════════════════════════════════

check BruteForceShield
  keep threshold = 12
  keep block_duration = 2 hours

  when bruteforce_login
    alert high message "🚨 Brute force attack detected"

    do
      -- Get attacker details
      set attacker_ip = event.source_ip
      set target_user = event.username

      -- Block the attacker IP
      firewall block ip attacker_ip for block_duration

      -- Lock the targeted user account
      iam lock user target_user

      -- Notify SOC team
      notify slack channel "#security-alerts" message "Brute force from {attacker_ip} targeting {target_user} - BLOCKED"

      -- Create incident ticket
      ticket open title "Brute Force Attack - {attacker_ip}" severity "high"

      -- Evidence collection
      evidence record "brute-force-containment" details {
        attacker_ip: attacker_ip,
        target_user: target_user,
        attempts: event.attempt_count,
        actions_taken: ["ip_blocked", "user_locked"]
      }
    end
  end
end
ransomware_containment.zc 
-- ════════════════════════════════════════════════════════════
-- Ransomware Detection and Automated Containment
-- ════════════════════════════════════════════════════════════

check RansomwareContainment
  keep critical_hosts = ["prod-db", "prod-web", "prod-api"]

  when ransomware_detected
    alert critical message "🦠 RANSOMWARE DETECTED - INITIATING CONTAINMENT"

    do
      set infected_host = event.hostname
      set malware_hash = event.file_hash

      -- Immediate isolation
      edr isolate host infected_host

      -- Kill malicious processes
      each proc in event.suspicious_processes
        edr kill process proc.pid on infected_host
      end

      -- Quarantine the ransomware binary
      edr quarantine file event.file_path on infected_host

      -- Take forensic snapshot
      aws ec2 snapshot instance infected_host

      -- Check if critical infrastructure is at risk
      when infected_host in critical_hosts
        pager trigger message "CRITICAL: Ransomware on production host {infected_host}"
      end

      -- Multi-channel notification
      notify slack channel "#security-critical" message "🚨 Ransomware contained on {infected_host}"
      notify email to "[email protected]" subject "CRITICAL: Ransomware Incident"

      -- Open P1 incident
      ticket open title "Ransomware Outbreak - {infected_host}" priority "p1" severity "critical"

      -- Threat intelligence lookup
      set threat_intel = threat lookup hash malware_hash

      -- Generate comprehensive evidence pack
      evidence record "ransomware-incident" details {
        host: infected_host,
        malware_hash: malware_hash,
        processes_killed: event.suspicious_processes,
        threat_intel: threat_intel,
        snapshot_id: snapshot.id,
        containment_time: now()
      }

      -- Blockchain anchor for legal evidence
      rosecoin anchor evidence_pack "ransomware-{infected_host}"

      -- Compliance audit trail
      audit log "Ransomware containment completed" details {
        host: infected_host,
        actions: ["isolated", "processes_killed", "file_quarantined", "snapshot_taken"]
      }
    end
  end
end
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🎯 Advanced ZelC Applications

Complex real-world implementations showcasing ZelC's versatility across chess engines, network security, and DevSecOps pipelines.

rosecoin_chess_core.zc 
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
©️ ROCHESTON ZELC: ROSECOIN_CHESS_CORE.zc
⚖️ LICENSE: FIDE_CERTIFIED / PROPRIETARY
🆔 AUTHOR:  Haja Mo
🏷️ VERSION: 1.0 (Checkmate Protocol)
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖

package rosecoin.chess
use aina, math, matrix, rosecoin, ui, network

-- 1. GAME CONFIGURATION & CONSTANTS
⚙️ keep CHESS_PHYSICS = 📦
    DIMENSION: 8
    SQUARES: 64
    TURN_LIMIT_MS: 3000
    BLITZ_MODE: true
🛑

⚙️ keep MATERIAL_WEIGHTS = 📦
    PAWN: 100
    KNIGHT: 320
    BISHOP: 330
    ROOK: 500
    QUEEN: 900
    KING: 20000
🛑

-- 2. STATE INITIALIZATION
⭕️ define initialize_board()
    note: Setting up the standard FIDE starting array.
    🔹 set board_matrix = matrix.zeros(CHESS_PHYSICS.DIMENSION, CHESS_PHYSICS.DIMENSION)

    ⚡ do
        🔹 change board_matrix[0] = ["R", "N", "B", "Q", "K", "B", "N", "R"]
        🔹 change board_matrix[1] = ["P", "P", "P", "P", "P", "P", "P", "P"]
        🔹 change board_matrix[6] = ["p", "p", "p", "p", "p", "p", "p", "p"]
        🔹 change board_matrix[7] = ["r", "n", "b", "q", "k", "b", "n", "r"]
    🔴

    return board_matrix
🔴

-- 3. MAIN GAME LOOP
⭕️ check Grandmaster_Duel
    🔹 set board = initialize_board()
    🔹 set turn = "WHITE"
    🔹 set game_active = true
    🔹 set move_count = 0

    ⚡ do
        ☁️ ui render matrix board
        📡 notify slack channel "#live-chess" message "🏳️ Game Started"
    🔴

    ⭕️ while game_active is true
        -- STEP A: INPUT & PARSING
        🔹 set raw_input = network.await_input(timeout=CHESS_PHYSICS.TURN_LIMIT_MS)

        ⭕️ when raw_input.timeout is true
            🚨 alert warning message "TIME FORFEIT: {turn} ran out"
            ⚡ do
                🔹 change game_active = false
                📝 evidence record "Forfeit" details "Timeout at move {move_count}"
            🔴
            break
        🔴

        -- STEP B: AI ENGINE CHEAT DETECTION
        🧠 set engine_eval = aina.chess.analyze(board)
        🧠 set similarity = math.correlation(move_vector, engine_eval.best_move)

        ⭕️ when similarity > 0.99 and move_count > 10
            ⚠️ alert warning message "ENGINE CORRELATION: {similarity}% detected"
            ⚡ do
                📝 evidence record "Potential_Cheat" details 📦
                    move: raw_input.move
                    player: turn
                    engine_match: similarity
                🛑
            🔴
        🔴

        -- STEP C: KINETIC EXECUTION
        ⚡ do
            ⛓️ rosecoin anchor 📦
                game_id: "WCC_2026_FINAL"
                move_seq: move_count
                notation: raw_input.move
                hash: math.sha256(board)
            🛑

            🔹 change move_count = move_count + 1
        🔴

        -- STEP D: CHECKMATE SCAN
        🧠 set king_status = aina.chess.is_checkmate(board, turn)

        ⭕️ when king_status is true
            📡 notify slack channel "#live-chess" message "🏆 CHECKMATE! Winner: {turn}"
            ⚡ do
                🔹 change game_active = false
                📝 audit log "Game_End" details "Checkmate on move {move_count}"
            🔴
        🔴
    🔴
🔴
biosec_firewall_sentinel.zc 
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
©️ ROCHESTON ZELC: BIOSEC_FIREWALL_SENTINEL.zc
⚖️ LICENSE: PROPRIETARY / CRITICAL_INFRASTRUCTURE
🆔 AUTHOR:  Haja Mo
🏷️ VERSION: 4.2 (Zero Trust Protocol)
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖

package biosec.sentinel
use aina, net, aws, rosecoin, math

-- 1. DEFENSE CONFIGURATION
⚙️ keep THREAT_MODEL = 📦
    MAX_ENTROPY: 7.85        -- Encrypted/packed payload
    REQ_PER_SEC: 5000        -- DDoS threshold
    GEO_RISK_LIMIT: 85       -- AINA risk score
    TRUST_DECAY: 0.1         -- Reputation penalty
🛑

⚙️ keep CRITICAL_ASSETS = 📦
    DB_PRIMARY: "10.0.1.50"
    KUBE_API: "10.0.1.99"
    VAULT_CORE: "10.0.2.10"
🛑

-- 2. TRAFFIC ANALYSIS PROTOCOL
⭕️ define analyze_packet_entropy(payload)
    🔹 set entropy = 0.0
    ⭕️ each byte in payload
        🔹 set p = count / size
        🔹 change entropy = entropy - (p * math.log2(p))
    🔴
    return entropy
🔴

-- 3. MAIN SENTINEL LOOP
⭕️ check ZeroTrustGatekeeper
    🔹 set traffic_stream = net.capture(interface="eth0", filter="tcp port 443")
    🔹 set sentinel_active = true

    ⭕️ while sentinel_active is true
        🔹 set packet = traffic_stream.next()

        -- THREAT A: ANOMALOUS PAYLOAD (AI INSPECTION)
        🧠 set entropy_score = analyze_packet_entropy(packet.payload)
        🧠 set ai_verdict = aina.net.inspect(packet)

        ⭕️ when entropy_score > THREAT_MODEL.MAX_ENTROPY or ai_verdict.is_malicious
            🚨 alert critical message "MALWARE PAYLOAD: {packet.src_ip}"

            ⚡ do
                -- 1. Immediate IP Block
                ☁️ linux firewall block ip packet.src_ip duration "permanent"

                -- 2. Terminate Socket
                ☁️ net kill_connection packet.session_id

                -- 3. Forensic Evidence
                📝 evidence record "Payload_Capture" details 📦
                    src_ip: packet.src_ip
                    hex_dump: packet.hex
                    ai_confidence: ai_verdict.confidence
                🛑

                -- 4. Blockchain Proof
                ⛓️ rosecoin anchor 📦
                    type: "Threat_Neutralized"
                    threat_hash: math.sha256(packet.payload)
                    action: "DROP"
                🛑
            🔴
        🔴

        -- THREAT B: VOLUMETRIC ATTACK (DDoS)
        🔹 set current_rate = net.get_flow_rate(packet.src_ip)

        ⭕️ when current_rate > THREAT_MODEL.REQ_PER_SEC
            ⚠️ alert warning message "DDoS DETECTED: {packet.src_ip} @ {current_rate} rps"

            ⚡ do
                -- Update AWS WAF (Edge Blocking)
                ☁️ aws waf update_ip_set 📦
                    action: "INSERT"
                    ip: packet.src_ip
                    list: "Global_Blocklist"
                🛑

                📡 notify slack channel "#war-room" message "🛡️ Shield Wall Active"
            🔴
        🔴

        -- THREAT C: GEOPOLITICAL COMPLIANCE
        🔹 set geo_data = net.geoip(packet.src_ip)

        ⭕️ when geo_data.risk_score > THREAT_MODEL.GEO_RISK_LIMIT
            ⚡ do
                ☁️ net drop packet
                📝 audit log "Geo_Block" details "Blocked {geo_data.country}"
            🔴
        🔴
    🔴
🔴
ci_cd_integrity_daemon.zc 
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
©️ ROCHESTON ZELC: CI_CD_INTEGRITY_DAEMON.zc
⚖️ LICENSE: PROPRIETARY / SUPPLY_CHAIN_SEC
🆔 AUTHOR:  Haja Mo
🏷️ VERSION: 2.2 (Hazard-Hardened)
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖

package devsecops.pipeline
use aina, git, docker, crypto, slack, rosecoin

-- 1. POLICY CONFIGURATION
⚙️ keep RELEASE_POLICY = 📦
    REQUIRE_SIGNED_COMMITS: true
    MAX_VULN_SEVERITY: "LOW"
    ALLOW_PRIVILEGED: false
    REVIEWERS_REQUIRED: 2
🛑

-- 2. PIPELINE EXECUTION
⭕️ check PipelineGuard(repository_path)
    🔦 trace "Initializing pipeline for {repository_path}..."

    -- 🛡️ SAFETY WRAPPER (Error Handling)
    🐞 try
        🔹 set repo = git.open(repository_path)
        🔹 set head_commit = repo.get_head()
        🔹 set build_status = "PENDING"

        -- GATE 1: PROVENANCE VERIFICATION (GPG)
        🔦 trace "Verifying GPG signature for {head_commit.hash}..."
        🧬 set signature_valid = crypto.gpg.verify(head_commit.signature)

        ⭕️ when signature_valid is false
            🚨 alert critical message "UNVERIFIED AUTHOR: Commit rejected"

            ⚡ do
                -- 1. Block Merge
                ☁️ git merge block reason "Unsigned Commit"

                -- 2. Log Incident
                📝 evidence record "Bad_Actor_Attempt" details 📦
                    author: head_commit.author
                    email: head_commit.email
                    ip: head_commit.origin_ip
                🛑

                -- 3. Kill Pipeline
                stop
            🔴
        🔴

        -- GATE 2: AI SECRET SCANNING
        🔦 trace "Scanning for hardcoded secrets..."
        🧠 set scan_results = aina.code.scan_secrets(repo.files)

        ⭕️ when scan_results.secrets_found > 0
            ⚠️ alert warning message "LEAK DETECTED: {scan_results.count} secrets"

            ⚡ do
                -- 1. Sanitize the Evidence (Hazard Op)
                --    Scrub the actual key from logs so we don't leak it in the report
                ☢️ sanitize scan_results.report mask "****"

                -- 2. Scorched Earth Cleanup (Hazard Op)
                --    Completely destroy the compromised workspace to prevent cache leaks
                ☢️ nuke path "./build_artifacts" method "overwrite_3x"

                -- 3. Quarantine Code
                ☁️ git stash push --keep-index

                -- 4. Notify Developer
                📡 notify slack user head_commit.author message "🛑 You committed an API Key"

                stop
            🔴
        🔴

        -- GATE 3: SBOM & CONTAINER HARDENING
        ⭕️ otherwise
            ⚡ do
                🔦 trace "Building container image..."
                
                -- 1. Generate SBOM
                📝 set sbom = crypto.sbom.generate(repo)

                -- 2. Build Container
                🐳 set image = docker.build(repo, base="gcr.io/distroless/static")

                -- 3. Vulnerability Scan
                🧠 set vulns = docker.scan(image)

                ⭕️ when vulns.critical_count > 0
                    🚨 alert critical message "VULNERABLE DEPENDENCY: Build Failed"
                    
                    -- Dump the core for analysis before stopping
                    🔦 trace "Dumping vulnerable core state..."
                    📝 evidence record "Vuln_Dump" details vulns
                    stop
                🔴

                -- 4. Sign Container Image (Cosign)
                🧬 set image_sig = crypto.cosign.sign(image, key="prod_signer")

                -- 5. Anchor Release to Blockchain
                ⛓️ rosecoin anchor 📦
                    type: "Supply_Chain_Release"
                    commit: head_commit.hash
                    image_hash: image.sha256
                    sbom_hash: math.sha256(sbom)
                    signer: "CI_Daemon_01"
                🛑

                -- 6. Deploy to Production
                ☁️ kubernetes apply image.tag namespace "production"

                📡 notify slack channel "#releases" message "✅ Deployed v{repo.tag} securely"
            🔴
        🔴

    -- 🐛 GLOBAL ERROR CATCHER
    🐞 catch error
        -- 1. Log the crash path (The Search)
        🔦 trace "CRITICAL PIPELINE FAILURE: {error.message}"
        
        -- 2. Seal the Evidence (The Record)
        📝 evidence record "Pipeline_Crash" details 📦
            error: error.message
            stack: error.stack_trace
            timestamp: now()
        🛑

        -- 3. Alert the SRE team (The Alarm)
        🚨 alert critical message "Pipeline Crashed! Check logs."
    🔴
🔴
ZelC Feature
📖 Quick Reference

Language Rules & Best Practices

📏 Core Language Rules

  • Every multi-line construct must end with end
  • Indentation is cosmetic; boundaries are explicit
  • check is the top-level security logic unit
  • do is the action/remediation unit (kinetic zone)
  • evidence, proof, audit are first-class

🔐 Security Principles

  • Read-only by default (until do block)
  • Explicit kinetic actions prevent accidents
  • All state changes leave audit trails
  • Evidence is tamper-proof and blockchain-anchored
  • Safety checks run before deployment

🎯 Best Practices

  • Use keep for constants, set for variables
  • Always collect evidence before and after actions
  • Wrap volatile operations in try...catch
  • Use descriptive names for checks and functions
  • Document complex logic with note comments

⚡ Performance Tips

  • Test with zelc test before production
  • Use zelc guard to catch security issues early
  • Format with zelc fmt for consistency
  • Generate docs with zelc doc gen
  • Verify packages with cryptographic signatures
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ZelC Feature
📝 Featured Article

The Uncomfortable Truth About "Modern" Programming

By Haja Mo • Founder and CTO, Rocheston

The industry loves calling things "modern" because it sounds like progress. Python is "modern." Rust is "modern." C++ keeps adding "modern." Java becomes "modern" every few releases. And yet—our security posture is not modern. Our incidents aren't modern. Our compliance isn't modern. The attacker certainly isn't modern; they're adaptive, relentless, and always three steps ahead. And the defender, too often, is still writing glue scripts like it's 2006.

Here's the contradiction nobody wants to say out loud: today's programming languages work. They work brilliantly, in fact. They have ecosystems. Libraries. Tooling. Vetted packages. Communities measured in millions. Decades of refinement. But the job has changed.

Security is no longer "write an app." Security is: connect clouds and identity providers, correlate signals across endpoints and network, contain breaches in real-time, recover systems under fire, prove what happened to lawyers and regulators, generate evidence on demand that holds up in court, explain decisions to humans and auditors who don't speak code—and do all of it continuously, under pressure, with milliseconds to decide and years of consequences.

The industry is living in an agentic AI era—yet most of our languages still assume the primary user is a human typing imperative code line-by-line, babysitting every detail, catching every edge case, manually orchestrating every integration. That assumption just became a liability.

Agentic AI Changed the Interface of Security

We used to ask: "What code do I write?" Now the most powerful question is: "What outcome do I want?" Agentic AI isn't a chatbot novelty. It's not autocomplete for your IDE. It's a fundamental shift in the interface of operations. You state intent in natural language. The agent chooses and sequences actions across multiple systems. The system records evidence immutably. The workflow becomes replayable, auditable, and legally defensible. The output becomes something you can hand to a regulator or judge.

If you're still thinking like "write functions, manage imports, stitch APIs"—you're solving the problem the old way while your competitors are solving it the new way. Because the real competition isn't "better code." The real competition is faster certainty.

I'll say it bluntly: in security, the fastest team isn't the one that writes the most code. It's the one that reaches verified containment with the least cognitive load.

Let's Be Fair Before We Get Aggressive

Python, Rust, C++, Java—these languages are incredible at what they were made for. Legitimately incredible. They power everything from spacecraft to financial markets to the device you're reading this on. They weren't made for this.

They don't encode security intent. Security actions usually look like strings and side effects. A "block this IP" might be a REST call buried in a random file. A "rotate keys" might be a function named rotate() in a utility module three directories deep. A "quarantine endpoint" is probably a vendor SDK call with parameters you have to look up every single time.

So what happens? No standardized safety gates. No standardized evidence trail. No standardized compliance mapping. No standardized replay or rollback semantics. No way for an AI agent to understand what you're trying to accomplish versus what you're literally executing. Every security operation is artisanally hand-crafted. Every time.

They Don't Make Evidence First-Class

A modern security workflow isn't done when it runs—it's done when it's provable. Traditional languages treat evidence as "logs," or worse, an afterthought you bolt on with a logging library if you remember.

But in real-world security, evidence is the difference between "We think we fixed it" and "Here's what we did, here's when we did it, here's who authorized it, here's the chain-of-custody, here's the cryptographic proof, here's how it maps to our compliance obligations—and here's how you can verify all of it independently." One of those statements works in an audit. The other gets you fired.

Why Rocheston Keeps Building

People ask why Rocheston keeps building in places where others just talk. Because the cybersecurity industry has a habit of confusing marketing with innovation. Conference keynotes with actual products. Thought leadership with operational capability.

At Rocheston, our work is anchored in a simple idea: if you can't operationalize it, it isn't security. White papers don't stop breaches. PDFs don't generate evidence. Frameworks that exist only as documentation don't protect anything. Tools that can't integrate don't scale. And certifications that don't produce operational capability don't prove competence.

The Rocheston Ecosystem

  • Rose X — Security as a native operating environment
  • AINA OS — Agentic workflows at the core
  • Rosecoin — Provenance and evidence anchoring with immutability
  • RCF + Noodles — Compliance and evidence as executable systems
  • Vega Browser — Agentic web interface for security consoles
  • ZelC — Cybersecurity-native programming language for the agentic era

What Makes ZelC Different

ZelC is not a framework. Not a library. Not a DSL that compiles to Python. A language. ZelC is built for a world where actions must be explicit (no hidden side effects), blocks must be readable (especially at 3am when everything's on fire), automation must be auditable (in court, under oath), and agentic commands must be first-class (not an afterthought).

ZelC can be emoji-forward and visually structured, because humans still have to read what we deploy under pressure. Because colorblind engineers exist. Because offshore teams need clarity. Because the SOC analyst responding to the alert at 2am needs to understand what this code does in ten seconds, not ten minutes.

But aesthetics isn't the point. The point is eliminating the gap between what we meant to do and what the system actually did. That gap has killed more security programs than any vulnerability.

The Future is Intent, Not Code

ZelC supports speakable command phrases designed for agents—especially AINA—so instructions are short and operational: notifications, evidence generation, cloud isolation, container quarantine, DevSecOps scanning, incident response playbooks, and reasoning hooks like "analyze this anomaly and recommend next actions."

This is not "AI bolted on." This is designing the language assuming an AI operator exists from day one.

Think about what James Gosling did with Java in the 90s. He didn't just make C++ easier; he rethought programming for an internet-connected world. ZelC is the same kind of shift for the agentic security era.

Production-Grade, Not Academic

A language isn't real until it ships inside a product that has to survive reality. ZelC is being integrated into Zelfire—Rocheston's security platform spanning firewall control, XDR, SOAR orchestration, incident response, posture and drift, and evidence generation that is court-admissible.

ZelC is not being designed as an academic language or a research toy. It's being designed as a security operations language: production-grade, battle-tested, built for real environments and real auditors asking hard questions.

Why Tech Giants Can't Build This

People also ask: why couldn't Apple, Microsoft, IBM, Google, Oracle build something like this? They could build a language. They can't build ZelC for the same reason "one cloud to rule them all" never happened: incentives.

A unified cybersecurity language must integrate AWS, Azure, and GCP equally; identity providers; multi-vendor EDR/XDR/SIEM; ticketing; chatops; pipelines; and compliance frameworks. Would Microsoft build a language that gives first-class power to AWS and Google inside Azure workflows? Would Google normalize Azure governance verbs?

The limitation isn't engineering skill. It's strategic conflict. They need lock-in. A universal security language is the opposite of lock-in.

Rocheston doesn't sell cloud services. We don't sell EDR licenses. We don't profit when you stay locked into one ecosystem. We profit when you succeed at security. That alignment matters.

What ZelC Replaces

ZelC is not here to replace Python, Rust, C++, or Java in their native territories. Those languages will keep doing what they do best. ZelC is here to replace the most dangerous thing in modern cybersecurity: ad-hoc automation—glue scripts nobody owns, half-owned runbooks that only work when Steve runs them, scattered integrations held together with hope and duct tape, and tribal knowledge disguised as tooling.

The Python script that "works" but nobody dares to modify. The Bash automation that breaks when APIs change. The PowerShell nightmare that only runs on one laptop for reasons nobody understands. That stuff is killing security programs slowly and invisibly—until the day it fails during an active breach.

The Thesis Behind ZelC

The next generation of security programming must be:

  • ✓ Agent-friendly — AI can execute it safely
  • ✓ Evidence-native — Proof is automatic
  • ✓ Capability-aware — Security operations are first-class
  • ✓ Multi-everything — Cloud, identity, network, endpoints, compliance

That is the thesis behind ZelC.
And that is why Rocheston is building it.

Because cybersecurity doesn't need another library.
It needs a new operating layer—where intent becomes execution,
execution becomes evidence, and evidence becomes trust.

We're at that moment again.

The agentic era demands a different foundation.

Talk to AINA and get it secured.

That's not a slogan. That's the direction.

⚡ Launch ZelC Terminal Now

Haja Mo

Founder and CTO, Rocheston

ZelC Intent Model