Step 1
Start with product orientation
Read the two guides that frame the rest of the docs before you branch into feature or setup detail.
Documentation
Documentation organized around how teams actually get oriented
Start with product orientation, jump into the workflow or setup area you need, or search directly when you already know the topic.
Find the right guide quickly
Search first when you know the workflow or setup topic
The docs set is broad enough now that scanning the full tree is not always the fastest path. Search works best when you already know the object, workflow, or admin topic you need.
Search across the public SentinelAI documentation set by topic, workflow, setup area, or feature area.
Step 2
Choose the workflow you care about most
Jump into the area that matches your current task instead of scanning the full documentation tree first.
Step 3
Follow the assurance workflows next
Move into the workflows that connect evidence, releases, investigations, and live telemetry once the governed inventory is clear.
Choose a path
Start here
Orientation and first steps
Use these guides to understand what SentinelAI does, how the governance lifecycle maps into the product, and where to begin reading next.
- Getting startedUse this guide to understand where SentinelAI fits, which teams usually participate first, and how to frame an initial evaluation or rollout.
- Platform overviewUnderstand how SentinelAI connects inventory, governance workflows, monitoring context, and reporting into one operating surface.
Govern AI systems
Inventory and lifecycle workflows
Explore the workflows teams use to track models, AI systems, prompts, RAG sources, datasets, use cases, and third-party AI services in one governed operating model.
- ModelsSee how SentinelAI organizes governed model records, lifecycle context, and evidence around each AI system.
- AI systemsLearn how SentinelAI governs runtime AI systems with linked models, use cases, datasets, readiness posture, and release references.
- Use casesSee how SentinelAI helps teams capture business context, intended AI usage, accountable owners, and early review triggers before downstream governance work begins.
- DatasetsLearn how SentinelAI supports dataset inventory, lineage, approvals, sensitivity handling, and model-to-data traceability.
- Prompt and RAG governanceSee how SentinelAI governs prompts and retrieval sources with versioning, AI-system linkage, evaluation posture, and citation-aware source records.
- VendorsUnderstand how SentinelAI can support due diligence and oversight for third-party AI providers and external services.
Run assurance workflows
Controls, evidence, and reporting
Follow the content most relevant to compliance execution, governance cases, telemetry connectors, release and evaluation workflows, evidence tracking, certificates, and stakeholder-ready outputs.
- ComplianceExplore how SentinelAI structures obligations, evidence, remediation work, and framework-aligned review processes.
- Release and evaluationsUnderstand how SentinelAI connects evaluation suites, release approvals, baselines, rollback references, and dependency invalidation.
- Governance casesLearn how SentinelAI coordinates alerts, findings, remediation, evidence posture, SLA deadlines, and closure outcomes in a shared case workspace.
- Telemetry connectorsSee how SentinelAI manages telemetry providers, ingest schedules, health status, and manual pulls for governed monitoring workflows.
- ReportsLearn how SentinelAI helps teams translate governance activity into executive and stakeholder-ready reporting.
- CertificatesUnderstand how SentinelAI can support governance certificate records and evidence-backed outputs without overclaiming outcomes.
Administer the workspace
Access, identity, and setup
Review the docs that shape user access, identity, and workspace configuration for day-to-day platform operation.
- Users and rolesReview the operating personas and role-oriented access patterns that shape how teams work inside SentinelAI.
- Identity and SSOUnderstand the identity-oriented controls and single sign-on considerations that matter during implementation and evaluation.
- Settings and workspacesLearn how workspace-oriented administration supports tenant-aware governance operations and implementation planning.
- Semantic governanceLearn how SentinelAI uses Operations-hosted taxonomy, ontology, and graph workflows to connect use cases, models, datasets, controls, and governance documents.
Leadership and support
Executive visibility and rollout help
Use these guides for executive orientation, AI-assisted workflows, and support or rollout planning.
- Executive dashboardSee how SentinelAI supports executive visibility into AI governance posture, open issues, and reporting narratives.
- AI assistantLearn how the SentinelAI assistant can support navigation, understanding, and workflow acceleration inside the platform.
- SupportUse this guide to understand the public support surfaces and the best next step for evaluation, implementation, or follow-up questions.
Browse all docs
Full index for readers who want the complete map
Start here
Govern AI systems
Run assurance workflows
Administer the workspace
Leadership and support
Next steps
Move from documentation into evaluation or rollout help
Once readers understand the product and workflow model, they should have a clear path into trust content, buyer enablement, or a guided conversation.
Related surface
Security and evaluation overview
Bring trust and evaluation framing into the same buyer-education journey as the docs set.
Trust pageRelated surface
Resources hub
Use glossary, buyer FAQ, and evaluation guidance to support broader stakeholder review.
Resource hubNext step
Book a guided walkthrough
Use the live conversion flow when your team wants help mapping SentinelAI to current governance priorities.
Conversion path