AI happens on the device — not just in a tab. Secure the native apps, IDEs, and local agents that traditional DLP structurally can't see.
Every one of them can touch sensitive data. None of them show up in browser DLP.
The same employee machine, seen two ways. Toggle between what browser-based DLP can inspect and what Endpoint AI Governance governs on-device.
Endpoint AI Governance extends Discover · Protect · Govern to the endpoint — the same policies, the same console, and the same sub-38ms (p99) inline inspection, now covering the desktop apps, IDEs, and local agents that browser DLP structurally can't see.
One deployment, one console — no parallel agent stack to run.
Close the gap on local AI security with complete governance over desktops, IDEs, and autonomous agents.
The same policy engine, console, and audit trail also cover the rest of your AI surface:
Something else? Book a call and we’ll answer it live during your pilot scoping.
Endpoint AI Governance deploys through your existing AccuroAI rollout — same under-30-minute deployment, extended to device-level coverage. No parallel agent stack to manage.
Native coverage for major desktop AI chat apps including Claude Desktop and ChatGPT desktop, with continuous updates as new tools reach the enterprise. Unknown or newly installed AI apps are surfaced through local application discovery.
Yes. Provisioning and revocation are per-app and per-agent, enforced on-device from the central console.
It covers what your existing DLP structurally can't: AI activity that never crosses the browser or the network. Most teams run Endpoint AI Governance alongside their current stack, then consolidate.
Guardrails run inline with sub-38ms (p99) inspection. Developers keep their assistants; security keeps visibility.