SEC536: Adversarial AI - Penetration Testing AI Systems


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Contact UsDefine how AI gets built securely across your organization, then hold the authority to review, gate, and sign off on every model, RAG, and agent design before it ships.
Define control libraries for models, RAG, inference, and agents, mapped to NIST AI RMF, OWASP LLM and Agentic Top 10, and MITRE ATLAS.
Establish trust boundaries, identity models, agent permissions, and data protections that other teams build against.
Assess vendor and platform designs like Bedrock, Azure AI, and Vertex, and carry the enterprise-wide mandate for AI data security.
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Advanced courses are designed for highly experienced cybersecurity professionals seeking expert-level mastery.



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