Provide fixed-scope adversarial assessments for production-bound AI agents and RAG^? applications. Test direct and indirect prompt injection, retrieval poisoning, data leakage, model-behavior exploits, and unauthorized tool invocation, then deliver reproducible findings, remediation guidance, and a verified retest.

Large technology and financial companies are hiring dedicated specialists for these attack classes, indicating an emerging operational security requirement. As agents receive access to private data and external tools, successful attacks can cause consequences beyond unsafe text generation.