Multi-agent LLM security framework. Cross-service attack detection and runtime monitoring, built to pressure-test the runtime threat models AI security platforms have to defend against.

Built for the Protegrity AI Pipeline Security Challenge, a US-only engineering competition for securing AI data pipelines. Focuses on controls at the data and action layer rather than prompt filtering.

Automated scanner testing AI endpoints against the full OWASP LLM Top 10. Semantic detection catches paraphrased attacks that bypass pattern matching. 35+ payloads, production-ready.

Multi-cloud misconfiguration scanner mapping findings to CIS Benchmarks with executive PDF reporting. Covers AWS, Azure, and GCP in a single read-only scan.