Phase 5: Security Testing AI-Generated Code · 50 min · AI models (Claude, GPT-4o) · prompt engineering · Python
Security Prompt Patterns
Prompts are necessary but not sufficient. Use them as one layer, not the only layer.
Real-world application: Engineers who can craft security review prompts, adversarial test generation prompts, and red-team prompts for AI code demonstrate practical prompt engineering skills for security.
What you will learn
- Apply security review prompts that activate AI review mode for vulnerability detection
- Apply adversarial test generation prompts that produce exploit test cases
- Apply red-team prompts that simulate attacker perspective on AI-generated code
- Understand the ACM 2025 systematic review of prompting techniques for secure code generation
- Explain why prompt-based security is necessary but not sufficient
Introduction
Security Prompt Patterns
Objective
Run the security prompt pattern simulator. Compare all 8 prompt types (default, secure generation, CWE-specific, few-shot, chain-of-thought, security review, adversarial test, red-team). Observe the ACM 2025 review results and the layered security approach (prompts + SAST + Z3).
Prompts are necessary but not sufficient. Use them as one layer, not the only layer.
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