Ultra13
Platform · Egress DLP

How does Ultra13 prevent data exfiltration from AI agents?

Ultra13 screens the sinks where data leaves — tool arguments, model output, webhooks, logs, and exports — and, crucially, controls why the data is leaving: whether the context that triggered the export was ever authorized to. Egress control is the last line; source-to-sink policy stops the path earlier.

By the Ultra13 teamPublished Updated
TL;DR
  • Screen every egress sink: tool args, output, webhooks, logs, exports.
  • Enforce destination policy on where data may go.
  • Block untrusted context from authorizing the export at all.
  • Fail closed on high-risk exports under uncertainty.

Cause, not just symptom

Traditional DLP inspects what already leaves. Ultra13 also prevents the unauthorized source-to-sink path that caused it — see context firewall vs DLP.

FAQ

Frequently asked questions

What egress sinks does Ultra13 screen?
Tool call arguments, final model output, webhook payloads, log destinations, and data exports — with destination policy and data-class awareness.

See where the firewall stops the path.

Give us one agent workflow. We’ll map the context boundary, replay the abuse paths, and show where the Context Firewall blocks them.

Join WaitlistSee a Sample Report