Enterprise AI deployments have quietly crossed a threshold. The question is no longer whether companies are running AI agents autonomously — it's whether anyone actually knows what those agents are doing, and who's accountable when they don't.

Insygna, a New Hampshire-based startup, is betting the answer to that question becomes one of the most important infrastructure problems of the decade. The company is building what it calls a trust layer for the AI workforce — a credentialing and identity platform specifically designed for autonomous AI agents operating inside enterprise environments.

"Existing governance frameworks were built for a world where a human submits a prompt and a model returns a response," said Michael Beygelman, Founder and CEO. "That world is already behind us."

The gap Insygna is targeting is structural. Current enterprise AI governance tools were designed for single-model, input/output deployments. They have no native mechanisms to handle multi-agent orchestration, assign accountability across autonomous action chains, or verify the identity of individual agents operating inside complex enterprise systems.\n\nWith the EU AI Act enforcement deadline arriving in August 2026, the commercial urgency is real. But Beygelman's thesis is longer-term: agent identity becomes as foundational to enterprise AI as IAM became to human workforce security.

Insygna is currently in development, with a platform launch planned ahead of the enforcement window.