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The Minimum Viable AI Security Baseline

Most AI systems ship with no security floor at all — no agreed minimum set of controls you must have before going to production. This series builds that floor from the ground up: why a baseline is the highest-leverage security investment an AI team can make and what it costs to have none, the minimum control set every AI system must have mapped to the OWASP LLM and Agentic guidance and the NIST AI RMF, the non-negotiable runtime guardrails on inputs, retrieval, and tools, the governance floor of identity, logging, and human-in-the-loop, and how to adopt the baseline through a maturity ladder, a checklist, and a continuous-integration gate. Grounded in the OWASP Top 10 for LLM Applications and Agentic Security Initiative, the NIST AI Risk Management Framework, the NIST Cybersecurity Framework and Zero Trust guidance, MITRE ATLAS, and ISO/IEC 42001.

Murali Chillakuru·5 episodes
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