Description
Deploy AI Responsibly with Enterprise Governance
The AI Security & Governance Framework provides the policies, processes, and tools needed to deploy artificial intelligence systems responsibly in enterprise environments. As AI regulations emerge globally and organizations face increasing scrutiny over algorithmic decision-making, this framework ensures your AI initiatives are secure, fair, transparent, and compliant with evolving requirements.
What’s Included
- AI risk assessment templates with impact scoring for different use case categories
- Model governance policy documents: development standards, review processes, and approval workflows
- Bias detection and mitigation workflow with fairness metrics and demographic parity testing
- AI security threat modeling guide covering adversarial attacks, data poisoning, and model extraction
- Data governance requirements for ML training data: lineage, consent, retention, and quality standards
- Explainability implementation guide with SHAP, LIME, and model-agnostic interpretation techniques
- Regulatory compliance mapping for EU AI Act, NIST AI RMF, and industry-specific AI requirements
- AI incident response procedures for model failures, bias discoveries, and security breaches
Who This Is For
- AI/ML leaders establishing governance frameworks for enterprise AI programs
- Compliance and risk teams evaluating AI systems for regulatory requirements
- Data Scientists and ML Engineers needing governance guardrails for responsible development
- CISOs assessing security risks introduced by AI/ML systems in their organizations
Why Choose Citadel
This framework combines deep technical AI expertise with enterprise governance experience. Citadel’s architects have built AI governance programs for organizations deploying AI across regulated industries. You get practical, implementable governance, not abstract principles, with templates and workflows your team can adopt immediately.
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