How do you stop AI agents from exfiltrating data?

Control the sinks — tool arguments, outputs, webhooks, logs, and exports — with egress policy, and prevent untrusted context from authorizing the export in the first place. DLP alone only inspects what already leaves.

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Context firewall vs DLP for AI agents

Data loss prevention (DLP) catches sensitive data leaving a boundary. A context firewall also controls why the data is leaving, which context caused it, and whether the requested action is authorized in the first place. For AI agents, the leak is often the last step of an unauthorized source-to-sink path.

By the Ultra13 teamPublished 1 Jul 2026Updated 8 Jul 2026

TL;DR

DLP inspects data leaving the boundary.
A context firewall controls why it's leaving and whether the action was authorized.
Agent exfiltration is usually the end of an unauthorized source-to-sink path.
Egress DLP is one control inside a context firewall.

Detecting the leak vs preventing the cause

DLP is necessary but reactive: it inspects what is already leaving. A context firewall asks whether the context that triggered the export was ever allowed to — stopping the path earlier. Egress control is part of that; see tool-call security.

FAQ

Frequently asked questions

How do you stop AI agents from exfiltrating data?: Control the sinks — tool arguments, outputs, webhooks, logs, and exports — with egress policy, and prevent untrusted context from authorizing the export in the first place. DLP alone only inspects what already leaves.

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.

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