AI & Technology Risk
Practical AI and technology-risk resources for professionals. Content is educational and informational — not legal, regulatory, audit, or professional advice.
Categories
AI Governance
Oversight, accountability, and decision frameworks for AI use cases.
AI Risk
Use-case, model, data, and monitoring considerations.
Technology Risk
Broader IT and technology risk themes for digital services.
Cybersecurity
Security controls that matter when AI features touch sensitive data.
Identity & Access Management
Joiners, movers, leavers, privileged access, and reviews.
DORA
High-level educational themes for operational resilience conversations.
Vendor Risk
Diligence questions for AI vendors and subprocessors.
Operational Resilience
Incident handling, continuity, and service resilience considerations.
Initial resources
ai-risk
AI Risk Assessment Checklist
A practical AI risk assessment checklist covering use case, data, model, privacy, security, oversight, bias, vendors, monitoring, incidents, and business impact.
vendor-risk
AI Vendor Risk Assessment Guide
Questions and considerations for assessing AI vendors: governance, data use, training, retention, subprocessors, hosting, security, transparency, resilience, exit, and contracts.
dora
DORA for Technology Professionals
A high-level educational overview of DORA themes for technology professionals: ICT risk, resilience, third-party dependency, testing, and incident learning — not legal advice.
iam
Identity & Access Management Risk Checklist
IAM risk checklist covering joiners, movers, leavers, privileged access, MFA, service accounts, access reviews, segregation of duties, authentication, logging, and third-party access.
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