Reference Architectures: Design and enforce target-state security architectures for cloud-native, on-premise, and SaaS-based AI/ML deployments, including LLM integration patterns, retrieval-augmented generation (RAG) pipelines, and agentic workflows.
Adversarial Defense: Establish security controls against AI-specific attack vectors, including prompt injection, jailbreaking, training data poisoning, model inversion/extraction, membership inference, and
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