By industry
Security testing for AI products and platforms.
AI companies ship fast and expose new surfaces - inference APIs, agent tooling, and data pipelines - on top of conventional web apps. Both the classic application layer and emerging AI-specific risks need continuous testing.
The app layer still dominates
AI products are still web apps and APIs. Authorization, SSRF (from tool and retrieval features), and injection remain the most exploitable issues.
Emerging AI risk
Agentic features, tool integrations, and retrieval pipelines introduce SSRF and injection paths that must be tested as first-class attack surface.
Speed of change
AI teams iterate rapidly. Continuous, autonomous testing matches that cadence and proves impact before release.
Key risks to test
FAQ
What security risks are unique to AI products?
Beyond conventional web and API risks, AI products expose tool-use and retrieval features that can introduce SSRF and injection paths. Both the classic application layer and these emerging surfaces need testing.
Impactr finds and proves whether flaws like this are actually reachable in your own web apps and APIs, with a reproducible exploit as evidence.