Target users
- AI governance teams working to close inventory gaps
- Risk officers tracking ungoverned AI exposure across the business
- Compliance teams establishing complete coverage of AI usage
- Security and IT teams identifying unsanctioned tools
Feature · Shadow AI discovery
Find and govern the AI your inventory does not yet know about
SentinelAI surfaces unsanctioned and ungoverned AI across the business through detection sources and CSV import, risk-scores each candidate, and lets teams triage and register it into the governed inventory in one click.
What this area covers
Shadow AI discovery gives governance teams a way to close the gap between what is officially governed and what is actually in use. It collects candidate systems from detection sources and CSV import, scores their risk, and provides a triage path that turns discovered tools into governed records.
Related product areas
- Model registry
Maintain a governed inventory for AI models and use-case context with lifecycle state, ownership, risk posture, and supporting evidence.
- AI systems
Track governed runtime systems that combine models, approved use cases, datasets, release state, and readiness into one operational record.
- AI governance intelligence
Detect risks, duplicate AI initiatives, overlap, and rationalization opportunities across governed records with explainable, human-reviewed analysis.
- Vendor AI governance
Register third-party AI vendors, structure due diligence, and connect external AI dependencies to internal governance records.
- Compliance workflows
Operationalize evidence collection, control tracking, remediation, and framework mapping across AI systems.
Core capabilities
Built to support production governance work
Multi-source discovery
Surface candidate AI systems through detection sources and CSV import so unsanctioned and ungoverned tools become visible to the governance team.
Risk scoring
Risk-score each discovered candidate so teams can prioritize the systems that carry the most exposure.
One-click registration
Triage candidates and register them into the governed inventory in one click so discovery flows directly into oversight.
Exposure KPIs
Roll up shadow-AI exposure into KPI summaries so leadership can see the scale of ungoverned usage and track it over time.
Inventory continuity
Connect discovered systems into the same registry teams already use so newly governed tools inherit the standard review path.
Governance value
- Reveals AI in use that the governed inventory does not yet cover
- Prioritizes follow-up through risk-scored discovery candidates
- Turns discovery into governed records with one-click registration
- Quantifies shadow-AI exposure through KPI rollups for leadership
- Strengthens the completeness of the overall AI inventory
How teams use it
A practical operating flow for this feature family
Step 1
Discover candidates
Collect candidate AI systems from detection sources and CSV import into a triage queue.
Step 2
Score and triage
Risk-score candidates and review them so the highest-exposure systems are handled first.
Step 3
Register and track
Register triaged candidates into governed inventory and track shadow-AI exposure through KPI rollups.
Continue exploring
Explore how SentinelAI connects adjacent governance workflows
Model registry
Maintain a governed inventory for AI models and use-case context with lifecycle state, ownership, risk posture, and supporting evidence.
AI systems
Track governed runtime systems that combine models, approved use cases, datasets, release state, and readiness into one operational record.
AI governance intelligence
Detect risks, duplicate AI initiatives, overlap, and rationalization opportunities across governed records with explainable, human-reviewed analysis.
Vendor AI governance
Register third-party AI vendors, structure due diligence, and connect external AI dependencies to internal governance records.
Compliance workflows
Operationalize evidence collection, control tracking, remediation, and framework mapping across AI systems.