Generative AI governance and AI risk management

AI Governance & Risk.

AI governance that engineering teams will actually use — model and dataset inventory, risk tiering, red-team requirements per tier, and approval workflows that do not become the AI bottleneck. Mapped to NIST AI RMF and ISO/IEC 42001 where it matters.

90% of in-scope AI systems inventoried in the first 60 days

Where teams get stuck.

  • No inventory of AI models, MCP tools or agents in production
  • Generative AI policy that engineers route around
  • Board-level AI risk appetite that doesn’t map to controls

What Basalt delivers.

  • AI system inventory across models, agents, MCP tools and datasets
  • AI risk tiering tied to red-team and approval requirements
  • NIST AI RMF and ISO/IEC 42001 control mapping
  • Governance workflow that integrates with engineering, not parallel to it

AI Governance & Risk by node.

Operations run remotely or on-site across our four service regions. Pick your city to see locally-framed scope.

// New Zealand

// Australia

// United Kingdom

// Singapore

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