How to Govern Agentic AI, MCPs, and AI Code Assistants
What happened
New analyses emphasize that governing agentic AI, Model Context Protocols (MCPs), and AI code assistants requires a distinct approach compared to human-reviewed code completion, moving beyond traditional model protection. This shift necessitates identity-first controls and integrated security, as autonomous agents can take multi-step actions and interact with sensitive systems.
Why it matters
AI Architects and MLOps Engineers deploying agentic AI must establish a robust governance framework that includes composite identity, tool approval guardrails, and comprehensive audit trails, prioritizing identity-first security over model-centric protection.
Topics
- Agentic AI Governance
- Model Context Protocol
- AI Code Assistants
- Software Development Lifecycle
Articles in this trend
- How to govern agentic AI, MCPs, and AI code assistants — GitLab
- Observer or governor? Why your AI control plane needs identity-first controls — Stacklok
- Hush Security says the AI security problem has shifted from protecting models to governing identities as autonomous agents spread — VentureBeat
- NTT DATA AIVista and Snowflake: Identity alone won’t secure enterprise AI agents — VentureBeat
- The two-door problem: splitting governance across an MCP gateway and an LLM gateway leaves a gap — Stacklok