agent governance
3 stories filed under agent governance on Beyond Market Intelligence. The newest of them: “Agentic AI Demands Smarter Governance to Tame Silent Failures”, “The hidden risk in AI is not agents but the chaos between them”, and “Brex lets real agent behavior shape smarter AI security policies”. Agentic AI systems don't fail loudly, they drift silently. The real risk in enterprise AI isn't a rogue agent. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every agent governance story on Beyond Market Intelligence, newest first.

Agentic AI Demands Smarter Governance to Tame Silent Failures
Agentic AI systems don't fail loudly, they drift silently. A recent InfoQ webinar highlighted how semantic and embedding drift can quietly produce costly errors. The solution demands smarter governance, not just better models. Automated code reviews, continuous model evaluation, and stronger privacy measures were called essential. This is a strategic challenge, not a technical patch. For a deeper look at keeping AI systems adaptable over time, see our related piece, "Design for Change: Keep Software Evolvable as Teams and Technology Shift."

The hidden risk in AI is not agents but the chaos between them
The real risk in enterprise AI isn't a rogue agent. It's the tangled web between a hundred of them, each quietly calling APIs and triggering handoffs no human approved. That complexity compounds faster than your governance can track it. Gravitee's Rory Blundell makes a sharp case: identity alone won't save you, and monitoring isn't enforcement. The fix is building visibility and control into the chain itself.

Brex lets real agent behavior shape smarter AI security policies
Brex stopped trying to police AI agents with SDK-level rules and started watching what those agents actually do. Its open-source proxy, CrabTrap, sits between every agent and every network request, using an LLM-as-a-judge to make enforcement decisions in real time. The insight is simple: the transport layer is an underused enforcement point. By bootstrapping policies from observed traffic instead of writing them from scratch, Brex found that governance gets sharper as agents get more capable.