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Rocheston ZelTester

Q: Does the chatbot run the attacks for me automatically?

ZelTester can automate parts of workflows, but the AI assistant is designed to guide, structure, and document testing rather than launch attacks. The human tester remains the operator and decision-maker.

Q: What data does AINA see inside ZelTester?

AINA sees what you add to the case: notes, screenshots, tool outputs, request/response evidence, and metadata; it uses that context to draft findings, severity, impact, and remediation.

Q: Does AINA store my secrets or plaintext credentials?

Treat credentials like keys: minimize exposure, rotate after use, and deliver via secure channels (e.g., Wasabi one-time messages). Avoid pasting long-lived secrets into analysis tools.

Q: Is the AI making the final security decision?

No. AI produces drafts and recommendations, but testers validate and approve the final finding. ZelTester is evidence-first.

Q: Can the AI hallucinate or be wrong?

Any AI system can be wrong if evidence is missing. ZelTester reduces risk by tying output to evidence objects. Always verify claims with reproducible proof.

Q: How does ZelTester prevent prompt injection or malicious content from influencing results?

Outputs stay grounded to case evidence and structured workflows. Treat attacker-controlled content as untrusted; review before executing any suggested commands.

Q: Can AINA generate a full penetration testing report automatically?

Yes, it can generate a draft quickly, but best results come when you capture evidence properly. AI produces summaries, narratives, and remediation while testers validate.

Q: Does the chatbot integrate with Vulnerability Vines and Noodles?

Yes. Vines provides scan/discovery signals; Noodles maps findings to compliance. AINA helps translate evidence into risk and report quality across both.

Q: Does ZelTester train the AI on my engagement data?

Best practice is to keep customer engagement data isolated and not used to train shared models. Follow your platform's data policy.

Rocheston ZelTester is an AI-powered penetration testing platform built to turn penetration testing from messy notes and scattered screenshots into a clean, evidence-driven system. Every target becomes a case. Every action becomes evidence. Every finding becomes a structured story. ZelTester integrates seamlessly with the Rocheston ecosystem to automate discovery, exploitation workflows, documentation, risk scoring, and report generation — producing the most beautiful penetration testing reports in the industry.

❝From chaos to clarity — every test becomes evidence, every finding becomes a report.

See Reports Read the FAQ

Multi-Tool Workflows, One Case

Modern penetration testing uses dozens of tools: Nmap, Burp, ZAP, custom scripts, in-house scanners, and cloud consoles. ZelTester doesn’t ask you to change your toolkit — it wraps everything into a single, evidence-driven case so you never lose the story. Every command, every scan, and every HTTP trace flows into one clean timeline.

❝Your tools stay messy. Your evidence doesn’t.

Day-in-the-Life: Web App Test

A typical web app engagement starts with discovery and ends with a board-ready report. In ZelTester, you begin by creating a case, importing Vulnerability Vines results, and attaching your manual test scope. As you probe parameters, bypass auth, and chain bugs, every screenshot and request/response is captured as proof and turned into structured findings automatically.

❝From first request to final report — all in one place.

Ticketing and DevOps Handoffs

Finding issues is only half the job. Fixing them fast is what matters. ZelTester turns each validated finding into an engineering-ready object with clear reproduction steps, impact, and remediation guidance that can be exported or synced to ticketing and DevOps tools. No more copy-paste into issue trackers, no more context lost in translation.

❝From vulnerability to ticket in one click.

Continuous Validation with CI/CD

Security can’t wait for annual pen tests. ZelTester works with automated workflows so you can continuously validate critical paths after every deploy. Pair it with scanners and scripted ZombieCop.run scenarios so that high-risk routes, auth flows, and APIs are retested on demand — with every new run adding fresh evidence to the same case.

❝Every deployment deserves a security checkpoint.

Penetration Testing Domains

ZelTester conducts comprehensive penetration tests across a wide range of security domains, giving organizations the ability to evaluate their defenses from every angle. Each domain represents a critical area of modern cybersecurity, from network infrastructure and web applications to cloud environments, wireless systems, IoT devices, mobile platforms, and beyond. Administrators can drill down far beyond surface-level assessments, accessing thousands of individual test items that cover the complete A to Z of cyberattack techniques, tactics, and procedures.

Whether the goal is to simulate advanced persistent threats, test for zero-day vulnerabilities, or validate compliance with industry standards, ZelTester provides the depth and granularity needed to uncover weaknesses that automated scanners routinely miss. AINA works alongside testers throughout the entire process, providing intelligent guidance, contextual recommendations, and real-time analysis that accelerates testing workflows and ensures nothing falls through the cracks.

This combination of exhaustive domain coverage and AI-powered assistance transforms penetration testing from a periodic checkbox exercise into a continuous, thorough, and adaptive security practice.

Your tools stay messy. Your evidence doesn’t.

Foundations, Ethics & Methodology

Regulatory Compliance Penetration Testing
Security Policy Compliance Penetration Testing
Penetration Testing from Various Locations
Vulnerability Disclosure & Bug Bounty Management
Continuous Exposure Management (CEM)

Web, API & Application Security

Web Application Penetration Testing
Web Services‑API Penetration Testing
Microservices & Service Mesh Security
Thick Client Penetration Testing
OWASP Top 10 Penetration Testing
WordPress Penetration Testing
Content Management System (CMS) Penetration Testing
Apache2 and nginx Penetration Testing
HTTP protocol verbs Penetration Testing
Server Security Headers Penetration Testing
Session Management Penetration Testing
Session Hijacking Penetration Testing
Cookie Security Penetration Testing
Cross‑Site Request Forgery (CSRF) Attacks Penetration Testing
Server‑side Request Forgery Penetration Testing
Clickjacking Penetration Testing
URL Manipulation Penetration Testing
File Upload Penetration Testing
Input Validation Penetration Testing
Code Injection Penetration Testing
Business Logic Penetration Testing
Logic Penetration Testing

Exploitation & Technical Analysis

Vulnerability Assessment and Exploitation
Vulnerability Analysis Penetration Testing
Vulnerabilities and Exposures (CVE) database Penetration Testing
Use of Known Vulnerabilities Penetration Testing
Zero‑day Exploit Penetration Testing
Password Cracking Penetration Testing
Password Strength Penetration Testing
Brute Force Attacks Penetration Testing
Privilege Escalation Penetration Testing
Post‑Exploitation Techniques
Man‑in‑the‑Middle (MITM) Attacks Penetration Testing
Race Condition Bugs Penetration Testing
Malware Analysis and Reverse Engineering
Ransomware Attacks Penetration Testing
EDR & XDR Evasion Techniques

Cloud & Virtualization

Cloud Penetration Testing
Azure, AWS, Google Cloud (GC) Penetration Testing
Cloud Storage Penetration Testing
Cloud Container Penetration Testing
Application Container Penetration Testing
Virtual Machine Security Penetration Testing
Zero Trust Architecture Penetration Testing
Third‑Party SaaS & OAuth Security

Defensive Efficacy & Operations

Firewalls & IDS in Penetration Testing
Firewall Configuration Penetration Testing
Intrusion Prevention System (IPS) Penetration Testing
WAF Penetration Testing
Anti‑Malware Efficacy Penetration Testing
Security Tool Efficacy Penetration Testing
Security Training Efficacy Penetration Testing
DDoS Mitigation Capability Penetration Testing
Real‑time Alerting Penetration Testing
Logs Auditing Penetration Testing
Patch Management Penetration Testing
Backup and Recovery Penetration Testing
Purple Teaming & Collaborative Defenses

Identity, Access & Hardware

Identity and Access Management (IAM) Penetration Testing
Multi‑factor Authentication (MFA) Penetration Testing
Administrative Interface Penetration Testing
Secure Token Penetration Testing
Token Permissions Penetration Testing
Unauthorized Data Access Penetration Testing
Biometric Systems Penetration Testing
RFID and Access Control Penetration Testing
NFC & Bluetooth (BLE) Penetration Testing

Mobile, IoT & Specialized Systems

Mobile Application Penetration Testing
Mobile and IoT Penetration Testing
IoT Device Penetration Testing
Embedded Device Penetration Testing
Wireless Network Penetration Testing
Physical Penetration Testing
Human Interface Device (HID) Attacks Penetration Testing
ATM Penetration Testing
POS Systems Penetration Testing
Drone & Robotics Penetration Testing

Intelligence & Advanced Strategy

Cyber Threat Intelligence (CTI) in Penetration Testing
Threat Hunting Penetration Testing
Social Engineering in Penetration Testing
Deepfake & Synthetic Identity Fraud
Social Media Footprinting Penetration Testing
Phishing Attack Simulation Penetration Testing
Spear Phishing Penetration Testing
Email Phishing Campaigns Penetration Testing
Email Configuration Penetration Testing
Red Teaming Penetration Testing
Insider Threat Simulation Penetration Testing
Advanced Persistent Threat (APT) Penetration Testing
Breach Readiness Assessment Penetration Testing
Incident Response Capability Penetration Testing
Shadow IT Detection Penetration Testing

Software Development & Data Science

Source Code Penetration Testing
Codebase Review Penetration Testing
DevSecOps in Penetration Testing
Software Supply Chain Security (SBOM)
Cryptography for Penetration Testers
Post‑Quantum Cryptography (PQC) Migration Testing
Encryption At Rest & In Transit Penetration Testing
Big Data Penetration Testing
Blockchain Penetration Testing
AI and Machine Learning Systems Penetration Testing
AI Red Teaming & Prompt Injection

Dark Web & Remote Work

Dark Web Penetration Testing
Work from Home Penetration Testing
Remote Access Penetration Testing

AI Data Policy You Can Trust

AI should never be a black box for your sensitive data. ZelTester is built with a clear AI data policy: engagement data is isolated per customer, used only inside your cases, and never blended into a shared training corpus. You stay in control of what AINA sees, what it remembers, and what becomes part of long-term storage.

❝Your tests. Your data. Your boundaries.

Customer Data Isolation

Penetration testing data is some of the most sensitive information your organization holds. ZelTester treats it that way by separating customer environments, encrypting stored evidence, and keeping case data scoped to your organization. Multi-tenant convenience, single-tenant respect: your cases never bleed into someone else’s analytics.

❝Shared platform. Isolated secrets.

AI Assist Off Mode

Some engagements require zero AI involvement — and that’s okay. ZelTester supports an “AI Assist Off” mode where AINA steps back and the platform behaves as a pure evidence and reporting engine. You still get structured cases, timelines, and proof galleries, just without automated drafting or analysis.

❝When the rules say no AI, ZelTester still works.

Evidence Integrity and Tamper Signals

When the stakes are high, screenshots and notes aren’t enough — you need evidence you can defend. ZelTester treats every artifact like it belongs in court: timestamped, attributed, and protected with integrity checks. You know when evidence was added, who added it, and if anything was altered.

❝Proof that your proof can be trusted.

Rose Evidence Vault

The Rose mindset turns chaos into a vault of proof. ZelTester organizes all your artifacts into a structured Evidence Vault: filter by host, by phase, by vulnerability, or by retest cycle in seconds. Instead of digging through folders, you can pull a complete chain of proof for any finding instantly.

❝Your entire engagement, one searchable vault.

RCF in Action

Frameworks should live in dashboards, not slide decks. ZelTester aligns every finding with the Rocheston Cybersecurity Framework so you see exactly which domains and controls are affected. The result: live coverage views and board-ready summaries that turn “we found SQL injection” into “here is the precise RCF impact and risk posture shift.”

❝RCF goes from paper to practice.

Mapping to NIST, ISO, and SOC 2

Compliance teams speak in standards, not exploit chains. ZelTester uses Noodles to map vulnerabilities into NIST, ISO 27001, SOC 2, and other control sets so security reality and compliance reality finally match. One set of evidence supports both your remediation plan and your audit narrative.

❝One finding, many frameworks, zero duplicate work.

Templates for Every Engagement Type

Not every team wants to design workflows from scratch. ZelTester ships with opinionated templates for common scenarios: web applications, APIs, external perimeter, internal network, cloud environments, and red team exercises. Pick a template, adjust the scope, and start testing with structured phases and evidence expectations already in place.

❝Hit “New Case” and you’re ready to hunt.

Web Application Playbook

Web apps are where real attackers focus. The ZelTester Web Application playbook walks testers through recon, authentication testing, input validation, access control, business logic, and data protection — with evidence slots defined at each stage. The output isn’t just a list of bugs; it’s a narrative of how the app can be broken and how to fix it.

❝Less checklist, more real-world attack flow.

API and Microservices Playbook

APIs and microservices hide some of the most critical vulnerabilities behind JSON and headers. ZelTester’s API playbook helps you structure testing across endpoints, auth tokens, rate limiting, injection, deserialization, and data exposure. Every request and response becomes part of a reproducible API attack narrative.

❝See every endpoint as a story, not just a URL.

Cloud and Perimeter Playbook

Modern attacks often start at the edge or in misconfigured cloud services. ZelTester’s cloud and perimeter templates cover discovery, misconfigurations, exposed services, identity weaknesses, and lateral movement paths. Each finding ties back to concrete cloud settings or perimeter assets with clear remediation guidance.

❝From open ports to cloud misconfigurations — captured as one picture.

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The Problem with Pen Testing Today

Pen testing is still done like it’s 2009: screenshots in random folders, notes in separate documents, command outputs pasted into chat, and reports assembled manually at the end. Critical context gets lost, repeatability suffers, and teams waste time formatting instead of testing. ZelTester fixes this by giving pen testers a structured case workflow where evidence is captured automatically and every step is traceable.

❝Pen testing should feel like engineering, not paperwork.

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AI-Powered Case Management

ZelTester organizes everything into penetration testing cases. You create a case, attach the target scope, assign testers, and track progress with a clean timeline. Rocheston AINA watches every input — commands, outputs, screenshots, and notes — and automatically structures it into evidence objects that map to findings and risk.

❝Every target is a case. Every case becomes a complete story.

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Evidence-First Architecture

ZelTester is built around evidence. Instead of writing a report later, you collect evidence while you work. Screenshots, terminal output, payload responses, HTTP transcripts, and tool results are captured as verified artifacts with timestamps and context. This makes audits easy, findings defensible, and reporting instant.

❝If it isn’t evidence, it didn’t happen.

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AINA Risk Analysis Built In

AINA analyzes the evidence in real time and generates risk scoring, business impact language, and remediation guidance. As you test, ZelTester automatically proposes vulnerability titles, severity, CVSS-style reasoning, exploitability context, and fix recommendations — while keeping everything consistent across the entire engagement.

❝AINA turns raw proof into professional-grade risk.

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Stunning Reports, Automatically

The final report is not a painful assembly job. ZelTester generates visually stunning reports with clean layouts, structured findings, evidence galleries, exploit narratives, and remediation checklists. Reports are consistent, executive-ready, and also detailed enough for engineers to fix issues immediately.

❝The most beautiful reports are the ones you didn’t have to write.

How it works See Proof Galleries

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Vulnerability Vines Integration

ZelTester integrates with Rocheston Vulnerability Vines to kick off scanning, discovery, and enumeration. Findings from Vines can be pulled into ZelTester as draft issues, then enriched with manual testing evidence and exploit validation. This creates a single pipeline from scan to verified exploit evidence.

❝Scan to proof — in one workflow.

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Noodles Compliance Mapping

Every finding can be mapped to compliance requirements through Rocheston Noodles. ZelTester links vulnerabilities to control failures, evidence requirements, and audit language. Perfect for organizations that need both security reality and compliance documentation — without duplicating work.

❝One set of evidence. Security and compliance both win.

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RCF Framework Alignment

ZelTester supports Rocheston RCF alignment so findings map cleanly into domains, controls, and risk categories. Generate framework-based summaries, coverage views, and board-level risk dashboards that translate technical issues into leadership language.

❝Findings that make sense to engineers and executives.

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ZombieCop.run Automated Testing

ZelTester can launch automated testing workflows through Rocheston zombiecop.run — enabling controlled attack simulations, repeatable test runs, and scripted validation of exposure. This helps teams standardize testing and quickly re-test after remediation.

❝Repeatable offense creates reliable defense.

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Wasabi Secure Delivery for Secrets

ZelTester integrates with Rocheston Wasabi for secure delivery of sensitive engagement artifacts, access notes, temporary credentials, or one-time secrets. Instead of emailing secrets into permanent inboxes, you deliver them as encrypted one-time messages.

❝Never email secrets. Wasabi delivers them safely.

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Rose Evidence Vault Mindset

ZelTester follows a “Rose” mindset: everything becomes structured evidence you can trust. Evidence objects can be organized into collections for findings, phases, and retests. The result is a clean vault of proof, not a chaotic folder of files.

❝Evidence becomes your vault, not your burden.

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Engagement Timelines that Tell the Truth

ZelTester automatically builds an engagement timeline: what was tested, when it was tested, what was found, and what proof was captured. This makes collaboration easy, reduces disputes, and produces a clear narrative for stakeholders.

❝A timeline is the difference between claims and proof.

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Assignments and Team Workflows

Assign cases to individual testers or teams. Track who is working on what, what is verified, and what needs validation. ZelTester supports clean handoffs between testers without losing evidence context.

❝Fast teams move with structure.

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Retest Mode

After fixes are deployed, ZelTester switches into retest mode. It pulls previous findings, re-runs validations, and captures new evidence. Reports can show before-and-after proof so remediation success is undeniable.

❝Retesting should be one click, not another project.

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Clean Dashboard, Glass UI

ZelTester is built with a visually stunning glass-style dashboard: transparent panels, clean spacing, and simple navigation. It’s designed to feel premium and modern — because professionals deserve professional tools.

❝Security tools should look as sharp as the people using them.

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Attack Notes that Stay Organized

Instead of dumping notes into documents, ZelTester keeps notes tied to the exact evidence and finding they relate to. Notes become searchable, structured, and instantly usable in reporting.

❝No more lost notes. Every detail has a home.

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Proof Galleries for Every Finding

Every vulnerability includes a proof gallery: screenshots, outputs, request/response, payload traces, and reproduction steps. This makes engineering teams move faster because they can see exactly what happened and how to reproduce it.

❝Show the proof, and fixes happen faster.

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Executive Summaries that Actually Matter

ZelTester generates executive summaries that are clean and meaningful: top risks, business impact, likely attack paths, and recommended priorities. It translates technical reality into leadership action.

❝Executives don’t need noise. They need priorities.

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Built for RCCE Testers

ZelTester is designed for RCCE testers and students who want real skills and real workflows. It teaches modern penetration testing discipline: evidence, reproducibility, structured reporting, and clear risk thinking — without slowing you down.

❝RCCE doesn’t train testers. It builds operators.

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Rocheston Speed and Relentless Innovation

Rocheston builds at lightning speed. ZelTester is one component of a larger ecosystem where everything connects: scanning, compliance, frameworks, secure delivery, automation, and reporting. This is only the beginning.

❝We build fast because the world needs better security now.

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FAQ – AI and Chatbots in ZelTester

Common questions about how Rocheston AINA powers ZelTester, how the assistant works inside penetration testing workflows, what data it sees, what it stores, and how to use AI safely in real engagements.

❝AI should accelerate the operator — not replace the proof.

Q1: What is the ZelTester chatbot?A: The ZelTester chatbot is Rocheston AINA embedded inside the platform to help you convert raw testing activity into structured evidence, findings, risk language, and professional reporting. It assists with summarizing outputs, generating vulnerability write-ups, and producing remediation guidance based on the evidence you attach.

Q2: Does the chatbot run the attacks for me automatically?A: ZelTester can automate parts of workflows through integrations and playbooks, but the AI assistant is designed to guide, structure, and document testing rather than blindly launching attacks. The human tester remains the operator and decision-maker, and evidence is always required for final findings.

Q3: What data does AINA see inside ZelTester?A: AINA sees what you provide inside the case: notes, screenshots, tool outputs, request/response evidence, and case metadata. It uses that context to propose findings, severity, impact, and remediation. You control what is added to the case and what becomes part of the report.

Q4: Does AINA store my secrets or plaintext credentials?A: You should not paste long-lived secrets into any analysis tool. ZelTester is built with a security-first approach, but best practice is to treat credentials like keys: minimize exposure, rotate after use, and deliver secrets through secure channels (for example, Wasabi one-time messages) instead of embedding them in findings text.

Q5: Is the AI making the final security decision?A: No. The AI produces recommendations and drafts, but the tester validates and approves the final finding. ZelTester is evidence-first: the report should be driven by proof, not opinions.

Q6: Can the AI hallucinate or be wrong?A: Any AI system can produce incorrect statements if evidence is missing or unclear. ZelTester’s design reduces this risk by tying output to evidence objects. Best practice is simple: treat AI as a co-pilot, verify technical claims, and ensure every finding has reproducible proof.

Q7: How does ZelTester prevent prompt injection or malicious content from influencing results?A: ZelTester keeps AI outputs grounded to the case evidence and encourages structured workflows. You should still assume attacker-controlled content may appear in logs, web pages, and tool outputs. Best practice: never run commands suggested by untrusted content without review, and keep “AI suggestions” separate from “actions executed.”

Q8: Can AINA generate a full penetration testing report automatically?A: Yes, it can generate a full report draft quickly, but the best results come when you capture evidence properly. The AI can produce executive summaries, finding narratives, remediation steps, and consistent formatting, while testers focus on validation and accuracy.

Q9: Does the chatbot integrate with Vulnerability Vines and Noodles?A: Yes. Vines provides scan/discovery signals that can be pulled into ZelTester as draft findings. Noodles links findings to compliance and control language. AINA then helps translate evidence into risk and report quality across both security and compliance views.

Q10: Does ZelTester train the AI on my engagement data?A: Your platform should clearly define its data policy. Best practice for enterprise-grade security tools is to keep customer engagement data isolated and not used to train shared models. If you want, I can write a short “AI Data Policy” section for your site that states exactly what is and is not done with engagement data in clear legal-friendly language.

Q11: Can we disable AI features for sensitive engagements?A: ZelTester should support an “AI Assist Off” mode per case or per organization policy. In that mode, the platform still functions as a structured evidence and reporting system, just without AI drafting and analysis. This is useful for ultra-sensitive environments.

Q12: What’s the safe way to use AI in penetration testing?A: Use AI to speed up structure and documentation, not to invent facts. Keep secrets out of free-text whenever possible, rotate credentials after use, validate every claim with evidence, and treat AI output as a draft that requires human review before it becomes an official finding.

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