Agent Identity
3 stories filed under Agent Identity on Beyond Market Intelligence. The newest of them: “The hidden risk in AI is not agents but the chaos between them”, “Autonomy demands security: most enterprises still fail to isolate high-risk agents”, and “How AI Gateways Keep Agentic Systems Stable Without Rewriting Your Platform”. The real risk in enterprise AI isn't a rogue agent. Enterprises have built the controls that watch and permission their AI agents, 65% enforce scoped permissions at runtime and 56% log activity. 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 Identity story on Beyond Market Intelligence, newest first.
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.
Autonomy demands security: most enterprises still fail to isolate high-risk agents
Enterprises have built the controls that watch and permission their AI agents, 65% enforce scoped permissions at runtime and 56% log activity. Yet only 18% isolate high-risk agents, leaving the control that bounds damage as the weakest link. With 53% already facing an agent security event, the gap between observation and containment is structural. The stack remains 92% provider-native, and confidence has slipped to an even split. The lesson is clear: watching agents is not the same as containing them.
How AI Gateways Keep Agentic Systems Stable Without Rewriting Your Platform
Traditional API gateways were built for deterministic services and simple schemas. Agentic AI breaks those assumptions. That's why enterprise engineering leaders are turning to AI Gateways as an evolutionary architecture seam. By centralizing guardrails, model routing, agent identity, action policy, and semantic audit into one control plane, teams prevent costly incidents without destabilizing core platforms. It's a practical, human-centered response to AI's pace of change.