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LinkedIn adapter
Compact, public-safe proof text for profile featured items and share cards.
Canonical copy
AI Governance Controls with Garak, NeMo Guardrails, Presidio & Promptfoo Implementing practical AI control evidence for ISO 42001, NIST AI RMF, AIMS, agent identities, permissions, red teaming, privacy, and output evaluation. Designed a practical AI governance control layer using Garak, NeMo Guardrails, Microsoft Presidio, Promptfoo, agentic identities, permission scoping, evaluation gates, and evidence-generation workflows to support ISO 42001, NIST AI RMF, and AIMS-style control objectives for agentic AI systems. Translated AI governance frameworks into concrete technical controls and evidence workflows.
Public-safe caveat
This case study describes a public-safe AI governance and control-engineering pattern. It generalizes private implementation details, sensitive prompts, internal test suites, client-specific control mappings, and proprietary workflow logic.