Docs · Getting started
Get started with SentinelAI
Use this guide to understand where SentinelAI fits, which teams usually participate first, and how to frame an initial evaluation or rollout.
Overview
SentinelAI is built for organizations that need a more structured operating model for AI governance across models, datasets, vendors, controls, monitoring, and reporting. This guide helps new readers orient around the platform before diving into feature-specific workflows.
This page is part of the public SentinelAI documentation layer. It is meant to accelerate orientation and evaluation while staying aligned with the product’s governance-focused positioning and messaging guardrails.
Who SentinelAI is for
SentinelAI is designed for AI governance teams, compliance leaders, risk managers, auditors, security stakeholders, and technical owners who need a shared operating view instead of disconnected trackers.
- Compliance and governance teams can coordinate evidence collection and reviews.
- Risk and security stakeholders can assess posture, controls, and unresolved gaps.
- Model and data teams can contribute context without rebuilding governance materials from scratch.
How to approach the platform
Most teams begin by establishing a current inventory, connecting the relevant governance obligations, and identifying the operating roles involved in approvals and oversight.
- Start with the platform overview to understand the operating model.
- Review use cases, models, datasets, vendors, and compliance workflows in the order that matches your program.
- Use reporting, security, and resources pages to prepare stakeholders for broader evaluation.
Recommended next steps
After orientation, move into the workflow guides that reflect the part of the AI lifecycle your team is organizing first.
- Read the platform overview for the full governance lifecycle framing.
- Explore use cases, models, datasets, and compliance docs for operational detail.
- Use the demo or contact routes if you want a guided evaluation path.