For CTOs, CISOs, Chief AI Officers, and compliance leaders facing board pressure and regulatory requirements around AI risk.
See How It Works ↓Self-paced
No scheduling or coordination required. Work through the program on your own schedule.
No AI agents in your assessment
Built by practitioners. Structured responses only.
Board-ready findings
Auditable analysis mapped to frameworks regulators recognize.
AI governance requirements are arriving from multiple directions simultaneously. Most organizations aren't ready.
The EU AI Act is in force. Organizations deploying AI systems in the EU—or to EU customers—face documentation, transparency, and risk management requirements that a self-assessment checklist won't satisfy. Regulators expect formal AI risk assessments.
Boards and audit committees are asking about AI risk exposure—how AI is being used, what controls exist, and whether the organization's governance program is adequate. "We're working on it" is no longer an acceptable response.
Financial services regulators, healthcare agencies, and others are issuing guidance on AI risk management. NIST AI RMF 1.0 is becoming a de facto standard. Organizations without documented AI governance are increasingly exposed during examinations and audits.
Documentation that holds up to regulator scrutiny and board questions—built for the pace of AI deployment.
Structured AI governance findings designed to satisfy regulators, boards, and auditors.
VeloRisk's AI Risk Assessment evaluates your organization's AI use cases, deployment practices, governance structures, and oversight mechanisms—across the full model lifecycle, not just a point-in-time snapshot of active systems.
Findings are mapped to NIST AI RMF 1.0, EU AI Act, ISO/IEC 42001:2023, ISO/IEC 23894:2023, MITRE ATLAS, OWASP LLM Top 10, OECD AI Principles, and NIST CSF 2.0. The same frameworks your board, regulators, and auditors will ask about.
AI risk profiles change fast—new models deployed, new use cases, new regulatory guidance. Re-run your assessment when your AI footprint changes and use the Comparison Report to document progress for board and compliance reporting. Unlimited reassessments are included with the Annual Program subscription.
Designed specifically for AI governance—not a repurposed enterprise risk checklist.
Comprehensive AI governance assessment covering model lifecycle risk, data practices, oversight structures, and security exposure—with findings mapped to the frameworks regulators and boards expect.
Mapped to NIST AI RMF, EU AI Act, ISO/IEC 42001, and more.
See the AI Risk Program →