Your business logic isn't behind the UI anymore. It's in the API.

API security has become a core requirement, not a secondary concern, precisely because modern applications increasingly expose their genuine business logic through APIs rather than gating everything behind a web interface — which means an API without properly tested authorization is often a much more direct path to sensitive data or privileged actions than a web application's front-end would ever expose.

The second problem is that broken object-level authorization — a user able to access or modify another user's data by simply changing an ID in an API request — remains one of the most common and most damaging API vulnerability classes, and it's exactly the kind of flaw that automated schema-based scanning tools are structurally poor at catching, since the API might be perfectly well-formed and pass every schema validation check while still failing to verify that the requesting user actually owns the resource they're requesting.

The third problem, increasingly relevant, is APIs being consumed by AI agents rather than only human-driven frontends — an emerging pattern where an agent calling an API with a broad, over-privileged token, or an API that trusts agent-supplied arguments without the scrutiny a human-facing form would apply, introduces classic vulnerability patterns like injection and server-side request forgery through an entirely new access path most API security testing wasn't built to consider.

We test APIs specifically for the authorization and business logic flaws that structural, schema-based scanning misses — verifying object-level and function-level authorization explicitly, checking whether a user can access data or perform actions genuinely outside their intended scope, not just whether requests conform to an expected schema.

For APIs consumed by AI agents specifically, we extend testing to cover this newer access pattern directly — checking whether agent tokens carry appropriately scoped privileges, whether the API applies the same rigorous input validation to agent-supplied arguments that it would to a human-facing form, and whether rate limiting and abuse detection account for the different traffic patterns an autonomous agent produces compared to a human user. And we test the full range of classic API vulnerability classes — injection, excessive data exposure, mass assignment, rate limiting gaps — with the same rigor as any comprehensive API security assessment.