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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, OWASP MCP Top 10 & Zero-Trust Governance

Answer-first: As AI agents gain autonomous tool execution privileges (reading databases, modifying infrastructure, pushing code), the security perimeter shifts from network boundaries to Instruction Integrity. Modern AI Security Engineering establishes Seven Layers of Defense, enforcing the Dual-LLM Pattern for indirect prompt injection immunity, Policy-as-Code (OPA/Rego) for runtime authorization, and Zero Data Retention (ZDR) compliance. 📖 Bản tiếng Việt (Vietnamese Edition) | ← Series Hub | Next Chapter: Part 8: Grand Finale — AI-Native Architecture → ...