Model registry
Maintain a governed inventory for AI models and use-case context with lifecycle state, ownership, risk posture, and supporting evidence.
- • Structured model records and intake depth
- • Lifecycle visibility
- • Model-to-use-case alignment
Features
23 feature areas. One governance operating layer.
Everything an AI governance program needs — from governed inventory and agentic oversight to runtime safety, compliance evidence, and third-party risk — sharing the same records, audit trail, and reporting layer.
Feature hub overview
Four goals, one connected platform.
Every SentinelAI capability maps to one of four program goals: govern your AI inventory, monitor what it does in production, prove compliance with evidence, and manage the AI you procure rather than build. Because they share the same governed records and audit trail, work done in one area is instantly usable in the others.
Built for cross-functional teams
- AI governance and compliance leaders
- Risk, legal, audit, and assurance stakeholders
- Data science, ML, and product owners
- Executives reviewing portfolio posture and readiness
See it in action
Every feature area works from one connected operating layer.
The capabilities below aren't isolated modules. They share the same governed records, evidence trail, and reporting layer — so inventory, review, monitoring, and compliance stay in sync as your AI program grows.
Connects to the AI stack you already run
- Amazon SageMaker
- AWS Bedrock
- Amazon S3
- Databricks
- MLflow
- Google Vertex AI
- Google BigQuery
- Azure ML
- Azure OpenAI
- OpenAI
- Anthropic
- Hugging Face
- Snowflake
Govern & inventory
Build a governed system of record for every AI asset
Register models, runtime systems, prompts, retrieval sources, datasets, and autonomous agents with ownership, lifecycle state, and connected governance context.
Monitor & safeguard
Watch what your AI actually does in production
Track live output safety, telemetry, and evaluation signals — privacy-preserving by design — so governance keeps pace after release.
Comply & report
Turn obligations into evidence stakeholders can verify
Map controls to frameworks, manage cases and releases, stay ahead of regulatory change, and export proof auditors can trust.
Third-party & supply chain
See and govern the AI you didn't build
Run vendor due diligence, score contracts for risk, surface shadow AI, and document supply-chain provenance with an AI Bill of Materials.
Adjacent governance areas
See how the feature hub connects to the rest of the SentinelAI platform
These adjacent areas help buyers move from dedicated feature pages into framework positioning, trust content, and rollout guidance without duplicating product-detail copy.
Related capability
Framework mappings
Position AI governance work against the EU AI Act, NIST AI RMF, and ISO 42001 without turning the feature hub into a framework microsite.
- • EU AI Act orientation
- • NIST AI RMF alignment
- • ISO 42001 positioning
Related capability
Security and access control
Support enterprise oversight with role-based access control, MFA-aware workflows, and multi-tenant isolation.
- • Role-aware workflows and tenant scoping
- • Evaluation-ready auditability framing
- • Deployment and trust-readiness context
Related capability
Docs and rollout guidance
Use the docs layer and platform explainers to carry feature discovery into evaluation planning and rollout preparation.
- • Public product documentation
- • Workflow explainers and orientation
- • Guided evaluation paths
Next step
Take the next step from feature discovery into a live walkthrough
Use this feature overview to orient stakeholders, then move into documentation, a demo, or a trial based on where your governance program is today.