RCCE Course
Course #611

Business logic flaws Tuning and Optimization

📊 Level: Advanced
⏱️ Duration: 2 Days
🏷️ Track: AppSec
📋 Prerequisites: Web basics
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn Amazon Web Services security architecture and operations including IAM policies, VPC security, Security Hub, GuardDuty, CloudTrail analysis, S3 bucket security, KMS encryption, and Lambda function security. RCCE students will learn to secure AWS workloads using native and third-party security controls, configure IAM least-privilege policies, design secure VPC architectures with security groups and NACLs, enable and analyze CloudTrail logs for security investigations, detect misconfigurations using AWS Config and Security Hub, respond to alerts from GuardDuty, and implement automated security remediation using Lambda and Step Functions. This optimization course focuses on maximizing effectiveness and efficiency in production security operations. At an expert level, RCCE students will learn to reduce noise, improve signal quality, tune configurations for optimal performance, and measure operational improvements. Students gain the operational maturity to transform good security programs into exceptional ones.

🎯 Target Audience
  • Security Engineers building defensive controls
  • Security Analysts and Blue Team members
  • Systems Administrators with security responsibilities
  • GRC and Risk Professionals supporting controls
  • Professionals implementing Business logic flaws Tuning and Optimization
🧠 What You Will Learn
  • Execute hands-on tasks for business logic flaws
  • Design a scalable privilege management architecture with policy and enforcement
  • Explain Course Overview fundamentals
  • Execute hands-on tasks for what you will master
  • Execute hands-on tasks for business logic flaws taxonomy
  • Execute hands-on tasks for authentication bypass
  • Execute hands-on tasks for workflow manipulation — covering Authorization Escalation.
  • Explain AWS Security Architecture Foundations fundamentals
  • Execute hands-on tasks for application layer
  • Execute hands-on tasks for data layer
  • Execute hands-on tasks for network layer
  • Integrate privilege controls with identity providers and SIEM telemetry
📚 Course Outline
Module 01Business Logic Flaws
Module 02Advanced AWS Security Architecture & Operational Excellence
Module 03Course Overview
Module 04What You Will Master
Module 05Business Logic Flaws Taxonomy
Module 06Authentication Bypass
Module 07Workflow Manipulation
Module 08AWS Security Architecture Foundations
Module 09Application Layer
Module 10Data Layer
Module 11Network Layer
Module 12Identity Layer
Module 13Monitoring Layer
Module 14IAM Policy Design Principles
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice business logic flaws tuning and optimization by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Execute hands-on tasks for business logic flaws
  • Lab 2: Design a scalable privilege management architecture with policy and enforcement
  • Lab 3: Explain Course Overview fundamentals
  • Lab 4: Execute hands-on tasks for what you will master
  • Lab 5: Execute hands-on tasks for business logic flaws taxonomy
📊 Skill Level
Advanced
Beginner Intermediate Advanced Expert
Duration
2 Days
🎓
Certificate
Completion
🖥️
Lab Platform
Rose X OS
👨‍🏫
Mode of Training
Online Instructor-Led
🔥
Platform
Zelfire
🐦‍⬛
Cyber Range
Raven
📓
Study Material
CyberNotes
🏆 Certificate

Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Business logic flaws Tuning and Optimization, verifiable through the Rocheston certification portal.

🔑 Student Access & Materials
  • Full access to all course materials and slide decks
  • Hands-on lab access on Rocheston Rose X OS environment
  • Access to Rocheston CyberNotes
  • Access to Rocheston Zelfire — EDR/XDR SIEM platform
  • Access to Rocheston Raven — online cyber range exercise platform
  • Access to Rocheston Vulnerability Vines AI