Part 5: AI Code Security — OWASP LLM Top 10 & Supply-Chain Hardening

← Previous Chapter: Part 4: Multi-Agent Review Pipelines | Series Hub | Next Chapter: Part 6: Governance & Careers → Answer-first: Defending against AI code security risks requires automated package lockfile verification (blocking unregistered npm/PyPI packages) and strict secret masking pre-commit hooks to ensure private credentials never reach LLM context windows.

Part 7: AI Security Engineering, Governance & DevSecOps Guardrails

← Previous Chapter: Part 6: Agentic DevOps | Series Hub | Next Chapter: Part 8: Grand Finale → Answer-first: Defending against AI agent security risks requires kernel-level system call enforcement (eBPF Tetragon), runtime input sanitize guardrails, and cryptographic tool attestation.