Prompt injection, data leaking between customers, tool and MCP misuse, and what your agents are allowed to do. We test your AI feature the way attackers do, prove what we find, and sign a report your enterprise customers will accept.
Why not test it ourselves with an AI red-teaming tool?
Do, it's a good start. Automated prompt suites find the obvious failures. What they don't give you is a test of your feature in its business context (whose data it can reach, what its tools can change), fixes that keep it useful, and a report your customers and auditors accept because someone independent signs it.
We have an MCP server. Is that covered?
Yes. The 32 published agent-access checks cover OAuth and token scopes, consent and tool permissions on MCP servers and connectors. The free MCP server check shows a first view in seconds.
Which standards do you map to?
The OWASP Top 10 for LLM Applications, the OWASP Top 10 for Agentic Applications, the OWASP MCP Top 10 and MITRE ATLAS, with ISO/IEC 42001, SOC 2 and ISO 27001 items where they apply.
Can we add it to a Proof Pentest?
Yes. When the AI feature lives in the app we're already testing, it's $2,500 on top of the Proof Pentest.
AI covers your whole web app and API in days. Then a person tests every role and tenant by hand, proves each finding, and signs the report your auditor and customers will accept.
When the next npm, PyPI or AI-agent supply-chain attack hits, know within 48 hours whether it reached your developers' Macs, your CI or your secrets, then close the paths it used. Cloak Watch finds it; we fix it.