AI security and cybersecurity best practices for software development (Python and TypeScript/Next.js) covering prompt injection defense, OWASP LLM Top 10 2025, agentic AI risks (OWASP ASI Top 10), MCP security, RAG attack vectors, output sanitization, guardrail architectures (NeMo Guardrails, LLM Guard), secrets management for AI APIs, Denial of Wallet prevention, supply-chain security (SLSA/Sigstore/SBOMs), critical Next.js/React CVEs, and NIST AI RMF. Use when advising on securing AI systems, LLM applications, agent architectures, or web application security in Python/TypeScript stacks.
