Services · AI Governance
AI Governance
AI systems introduce new attack surfaces, compliance risks, and operational challenges. Fire Mountain Labs helps organizations navigate the complex landscape of AI governance and regulatory compliance.
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Service offering
AI Policy Development & Implementation
Clear policies and procedures for managing AI systems in compliance with regulations like the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
Governance assessment
Evaluate current AI governance practices against regulatory requirements and industry best practices.
Policy design
Tailored policies covering AI ethics, data management, model lifecycle management, and operational controls.
Implementation and oversight
Training and change management to embed policy in existing workflows, backed by oversight committees and accountability structures.
Service offering
AI Regulatory Compliance Assessment
Identify and address compliance gaps in your AI systems before a regulator or auditor does.
Compliance readiness reviews
Comprehensive assessments of AI systems and processes against regulations like the EU AI Act and the NIST AI RMF.
Gap analysis and risk identification
Evaluate AI governance, data management, and security practices to uncover potential compliance risks.
Compliance testing & validation
Detailed compliance testing focused on data governance, model transparency, and AI system security.
Audit preparation & support
Documentation review, evidence gathering, and regulatory response management.
Service offering
AI Incident Response
Proactive preparation for AI-specific threats through tabletop exercises and tailored AI incident response plans.
AI tabletop exercises (AI TTX)
Simulate real-world AI security incidents to test and improve response strategies.
Incident response plan development
Structured, AI-specific playbooks aligned with industry best practices.
Risk & threat scenario testing
Identify gaps in AI security readiness through structured attack and failure scenarios.
Compliance & governance alignment
Response plans that meet regulatory requirements like the EU AI Act and NIST AI RMF.
Put the policies, controls, and response plans in place.
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