AI Security Governance
& Risk
AI Risk You Can Manage
AI deployment without governance is a liability waiting to materialize. Regulatory requirements for AI are accelerating: the EU AI Act, NIST AI RMF, and sector-specific guidance from financial regulators and healthcare bodies are creating new compliance obligations.
Endurance Security helps organizations build AI governance frameworks that satisfy emerging regulatory requirements while enabling responsible AI deployment at scale.
Our approach integrates AI-specific risk management into your existing security and compliance program, not as a separate silo, but as a coherent extension of enterprise risk governance.
AI Governance Services
- AI risk management framework (NIST AI RMF) implementation
- EU AI Act readiness assessment and gap analysis
- AI model inventory and risk classification
- AI bias, fairness, and explainability assessments
- AI vendor and third-party risk management
- Data governance for AI training pipelines
- AI incident response planning
- Board-level AI risk reporting frameworks
- AI ethics policy and acceptable use program development
AI Governance
Framework
AI Inventory & Classification
Comprehensive inventory of all AI systems in use, including internal models, third-party APIs, and embedded AI features, with risk classification.
Regulatory Mapping
Gap analysis against applicable AI regulations and frameworks, with prioritized compliance requirements and timeline assessment.
Governance Program Design
Policies, procedures, and accountability structures for responsible AI development, procurement, and deployment.
Monitoring & Reporting
Ongoing AI risk monitoring, model performance tracking, and executive reporting aligned to board and regulatory expectations.
