- CIO and risk leaders
- AI product owners
- Security teams
- Data science leaders
Catalogue › Data & Artificial Intelligence › MLOps, AI Governance & Model Security
Data & Artificial Intelligence
MLOps, AI Governance & Model Security
Governance, lifecycle controls and operational tooling for responsibly deploying, monitoring and retiring AI models and AI-enabled applications.
- Clear AI ownership and risk decisions
- Reproducible model releases
- Continuous quality and drift monitoring
- Documented controls for regulators and customers
- AI inventory and risk-tiering
- Model documentation and approval gates
- Evaluation and red-team plans
- Versioning, deployment and rollback
- Monitoring for drift, abuse and cost
- Incident, change and retirement procedures
- Confirmed scope, stakeholders, assumptions and acceptance criteria
- Assessment, design or implementation work products
- Decision log, risk register and issue resolution
- Testing or evidence pack appropriate to the service
- Knowledge transfer, administrator guidance and handover
- Follow-up support or managed-service transition where contracted
- AI governance program
- Model registry and pipelines
- Independent validation
- Managed model monitoring
- Policy and training package
- Edition, modules and user/location count
- Hosting, environments and availability target
- Data migration and integrations
- Configuration versus custom development
- Security, compliance and assurance scope
- Training, support and service level
Content on this page comes from the governed ARRIX catalogue record DAI-08; pricing is confirmed only through a reviewed quotation.