Building agent-first governance and security

The more pointed issue the summary skirts is accountability: when non-human identities outnumber human ones, existing identity and access management vendors face a product gap they weren't built to fill, and the compliance frameworks enterprises rely on were written assuming humans are the primary actors.

This connects directly to two threads Modelwire has been tracking. InsightFinder's $15M raise (covered April 16) was explicitly framed around systemic observability for AI-integrated infrastructure, which is the diagnostic side of the same problem this story names on the governance side. Separately, MIT Technology Review's 'Treating enterprise AI as an operating layer' piece from the same week argued that competitive advantage now lives in operational infrastructure, not model capability. Agent-first security is the stress test of that thesis: firms that treated AI as an add-on rather than an operating layer are now most exposed. OpenAI's updated Agents SDK (April 15) added sandbox execution and model-native harness features, but those are developer-facing controls, not enterprise governance tooling, so they don't close the gap this story describes.

Watch whether established identity providers like Okta or CyberArk announce non-human identity products specifically scoped to AI agents within the next two quarters. If they do, it signals the market has accepted agent governance as a distinct product category rather than a feature bolt-on.