AI Code Auditing & Security
AI generates insecure, biased, and legally risky code at scale. Learn to audit it, secure it, and hold it to professional standards — before it ships to production.
Why AI Code Security??
Your B03 instructor reviewed a fintech codebase where AI had generated a payment validation function. It passed every test but had a critical integer overflow on edge-cases. No human had reviewed it. That's the gap B03 closes.
of AI-generated code contains at least one security vulnerability. The code looks right and runs — but it isn't always safe. Auditing is no longer optional.
Now mandates bias audits and risk assessments for AI systems — compliance is becoming a dedicated job function for high-stakes engineering.
Razorpay, CRED, PhonePe, Banks, BFSI, and security consulting firms.
Want the full programme details?
Download our comprehensive brochure (PDF)
Learning Outcomes
By completing this programme, you will be able to:
- Audit AI-generated code for OWASP Top 10 vulnerabilities — SQL injection, XSS, and IDOR.
- Use SAST tools (SonarQube, Semgrep, Bandit) to automate security scanning in CI/CD pipelines.
- Identify and fix auth, authorisation, and session management flaws in LLM-written code.
- Perform threat modelling and write security test cases for AI-generated features.
- Conduct AI bias audits using Fairlearn and analyse impact across protected groups.
- Document audit findings in professional reports suitable for executive and compliance review.
Your Learning Roadmap
A week-by-week path from foundations to job-readiness.
Secure Coding Fundamentals
OWASP Top 10, threat modelling, and the shift-left security mindset.
Auditing AI-Generated Code
Systematic process for reviewing LLM output — what AI gets wrong and why.
SAST: Automated Scanning
Run SonarQube, Semgrep, and Bandit across codebases and interpret results.
Authentication & Auth Flaws
Identify broken auth, missing access controls, and insecure JWT handling.
Injection Vulnerabilities
SQL, command, and prompt injection — finding and fixing them in AI code.
API Security Auditing
Rate limiting, IDOR, and mass assignment in LLM-built APIs.
Supply Chain Security
Audit third-party libraries and AI-suggested packages for known vulnerabilities.
Secure Code Review Process
Run structured peer reviews with a security focus — checklists and gates.
AI Bias Auditing
Apply Fairlearn, measure disparate impact, and document findings.
Security Report Writing
Write professional audit reports with CVSS scores and remediation steps.
Capstone: Full Security Audit
End-to-end security audit of a production-scale codebase and report findings.
Skill Gain Forecast
Proficiency benchmarks based on cohort outcomes. These are measured at your Week 8 oral viva — not estimated from syllabus coverage.
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Skills You Will Master
OWASP Top 10
Web application vulnerability classes
SAST Tools
SonarQube, Semgrep, Bandit automation
Threat Modelling
STRIDE framework and attack surface
Auth Security
OAuth, JWT, session management flaws
API Security
IDOR, rate limiting, mass assignment
AI Bias Auditing
Fairlearn, disparate impact analysis
Security Reporting
CVSS scoring and executive reports
CI/CD Security Gates
Integrating security checks in pipelines
Tools Covered
Hands-on experience with the tools used by architects.
Job Roles You Can Target
- Application Security Engineer
- Security Code Reviewer
- DevSecOps Engineer
- AI Safety Auditor
- Penetration Tester
- Security Consultant
Who Is This For?
Senior Engineers
Developers with 4+ years of experience looking to scale their systems safely.
Security Specialists
Engineers focusing on AI auditing and security frameworks within corporate environments.
Team Leads
Engineering managers responsible for code review quality and production safety.
Is This Course Right For You?
This course is deliberately specific. Here's who gets the most out of it — and who should look at another stream first.
✓ Great fit
✕ Not the fit
Architecture Deep-Dive FAQs
Frequently Asked Questions
Basic web development experience is expected (you should know what an API and SQL query are). Security fundamentals are taught from Week 1.
Primarily defensive — the goal is to find and fix vulnerabilities. We cover attacker mindset as a way to think about threats.
Week 9 covers analysing ML outputs for fairness — using Fairlearn to measure disparate impact across groups under EU AI Act requirements.
Yes. Week 10 is dedicated to writing professional audit reports with CVSS scores and findings summaries.
Extremely. Vikram Sharma's background at Razorpay means the curriculum is built for high-stakes security contexts.