Use case · Agentic Application Security

AI versus AI. Our agent attacks yours.

apisec builds a model of your application as a system: its third-party microservices, its call graph, its authorization boundaries, and the downstream APIs it depends on. Then it generates attacks specific to that system and executes them at runtime.

Not prompt trickery in isolation. Full chains: poison an input an application endpoint will read, watch which software path it calls next, follow that call into the API layer, and see what comes back out.


Why it matters

Applications are compositional. Each part looks defensible on its own; the chain is what breaks. Only an attacker working through the whole path finds it, and that's what apisec automates: authentication, authorization, and access control through the business-logic lens.

Proof you get

The complete exploit chain from entry point to data reached, with the blast radius and the prompt to resolve it.


What an agent exploit actually looks like

One chain, start to finish.

  1. An attacker plants instructions in content the agent is expected to process: a support ticket, a document, a webhook payload.
  2. The agent reads it and selects a tool. Behaving normally, doing what it was built to do.
  3. The tool call goes to an internal API using the agent's standing token.
  4. The API authorizes on identity, not intent, and returns records belonging to another tenant.
  5. A second call moves the data to a location the attacker can read.

Every step passes its own review. The chain is the breach. apisec runs it end-to-end and shows you the whole path.

Reproducibility

Run it twice. Get the same answer.

apisec uses models to reason about your agents and to generate attacks. It does not use a model to decide whether an attack worked. Execution is the arbiter: deterministic, repeatable, replayable, auditable.

That matters more here than anywhere else you run. A system that behaves differently on every invocation cannot be governed by a tool that behaves differently on every invocation.


Before you test

First, find the agents you didn't know you had.

The free Surface tools produce what you need before an exploit run.

  • agents, MCP servers, and LLM call sites in your code
  • exposed secrets in MCP configuration
  • shadow and undocumented API surface
  • the AI-BOM, API-BOM, and S-BOM
Prove the whole chain

See a proven exploit against your agentic app.