Use case · AI agents at runtime

Agents don't get phished. They get authorized.

Prompt injection gets the headlines. Access control is what actually breaks. Gartner expects most successful attacks on AI agents through 2029 to exploit access-control issues, not model behavior.

apisec proves it: cross-agent object access, delegated-credential scope, tool-call authorization, and tenant boundaries in agent flows. Replayable evidence, not a red-team transcript.

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What we prove

Agent and MCP surface discovery, including shadow agents.
Authorization and object-scope exploits across agent identities.
Tool-call and MCP server abuse paths.
Multistep business logic through agent chains.
Continuous retest as the agent changes.

What we are not

We do not scan model files, repositories, or notebooks. We do not test for toxicity, bias, or harmful output. We do not do multimodal red teaming.

Those are adjacent controls, and we complement them. We prove what an attacker can reach and take.

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