SEC536: Adversarial AI - Penetration Testing AI Systems


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Contact UsSecure the AI systems your organization builds and buys by threat modeling LLM applications, RAG pipelines, and AI agents, then shipping the guardrails and identity controls that keep them safe in production.
Assess LLM features, RAG pipelines, and agent integrations for prompt injection, tool abuse, and data leakage, then design the controls that close the gaps.
Ship output filtering, identity and secrets management for non-human agents, and MCP and API policy that hold up under real traffic.
Put security checks into CI/CD and MLOps workflows, and lead the response when an AI system misbehaves in production.
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