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AI Governance
AI Governance Program Development
Design an AI governance program on the NIST AI RMF and ISO/IEC 42001: decision rights, policy, use case intake, risk assessment, oversight, and monitoring.
Frameworks and standards
- ISO 42001
- NIST AI RMF
What it covers
The engagement in detail
Design and implementation of an artificial intelligence governance program, structured on the NIST AI Risk Management Framework and ISO/IEC 42001, including governance bodies and decision rights, policy and standards, the intake and review process for new use cases, documentation requirements, human oversight expectations, and the monitoring cycle.
Who it is for
Designed for growth-stage and venture-backed companies building the security program enterprise customers require, and established organizations measuring and maturing an existing security program.
What you receive
Deliverables from this engagement
- Governance charter
- AI policy and standards
- Use case intake process
- Risk assessment methodology
- Program documentation
Terms
How an engagement works
Every engagement is scoped individually and conducted under a nondisclosure agreement and a master services agreement, beginning with a scoping conversation and a written statement of work that defines scope, deliverables, and sequence. The four steps this practice follows are set out in full on the AI Governance page.
- Establish governance and policy
- Growth-Stage & Startup Companies
- Established Enterprises
AI Governance
Other services in this practice
Govern the AI you build, buy, and use, against ISO 42001, the NIST AI Risk Management Framework, and emerging state law.
- AI Regulatory Readiness AssessmentGap assessment against the EU AI Act, the Colorado AI Act, the Texas Responsible AI Governance Act, and sector expectations for AI accountability.Regulatory
- AI System Inventory and Use Case Risk ClassificationDiscover and catalog the AI systems in use across your organization, whether built, bought, or embedded, and classify each use case by risk.Governance
- Shadow AI Discovery and GovernanceFind unsanctioned AI use, measure the data exposure it creates, and replace it with sanctioned tools, acceptable use standards, and technical controls.Governance
- AI Vendor and Model AssessmentEvaluate AI providers and models for data handling, training provenance, security, reliability, contract protections, and regulatory obligations.Transactions
- AI Product Security and AssuranceAssess the AI features in your product for prompt injection, data leakage, output handling, access control, tenant isolation, and evaluation practice.Product security
- AI Risk Assessment and Ongoing MonitoringRecurring assessment of deployed AI systems for fairness, reliability, transparency, security, and regulatory fit, with the documentation regulators expect.Risk and maturity
Start with a confidential conversation
Thirty minutes on whether this is the right engagement for the question you have been asked, and what it would take to answer it.