AI Governance · Microsoft 365

Every AI
Retrieval.
Enforced.
Logged.
Proven.

Gatepost is the governance layer Microsoft 365 enterprises need before they can safely deploy AI. Deployed inside your Azure tenant — your data never leaves.

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✓ Deployed inside your Azure tenant✓ No data egress✓ Entra JWT authentication✓ CMMC · HIPAA · SEC frameworks
7
Enforcement steps per retrieval
4wk
Time to board-ready compliance report
0
Data egress outside your tenant
Built for
Healthcare
Financial Services
Defense & Gov
Legal & Professional

The Governance Gap

What Microsoft Native
Tooling Doesn't Provide

Purview handles data classification. It was never designed to govern AI agent retrieval. These are the six critical gaps Gatepost closes.

Per-Agent Classification Ceilings

Enforce sensitivity thresholds per agent identity — not just per user. Microsoft native tooling has no concept of agent-level data access limits.

Chunk-Level Audit Trails

Log every document chunk retrieved by every agent, with the exact policy version active at retrieval time. Purview logs file-level access, not retrieval context.

Agent Suspension

Instantly suspend an AI agent's data access without disabling the underlying service account or disrupting human users.

Policy Version Capture

Immutably record which policy was enforced at the exact moment of retrieval — essential for audit defense in regulated environments.

Retrieval-Time Enforcement

Block non-compliant retrievals before they reach the model context window, not after the fact. Prevention, not detection.

Cross-Agent Provenance

Track data flow across multi-agent pipelines — which agent sourced which chunk, through which retrieval path, under which policy.

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Platform

Five modules.
One governance layer.

Gatepost wraps your Microsoft 365 AI stack — from SharePoint indexing to Copilot queries — with a structured enforcement and audit architecture that regulators can verify.

Explore all five modules
01

Permission Intelligence

Map every SharePoint, OneDrive, and Teams permission against your sensitivity labels. Surface overprivileged service accounts before agents inherit excessive access.

02

Governed Indexing

Intercept the indexing pipeline. Apply classification ceilings at ingest time so agents only ever see data they're permitted to retrieve.

03

Retrieval Gateway

Seven-step enforcement sequence at every RAG query: identity resolution, agent policy lookup, classification check, ceiling enforcement, retrieval, audit log, response release.

+ 2 more modules

Time to Value

Four weeks to
board-ready compliance.

1

Week 1

Permission Risk Visibility

Full map of AI-accessible data vs. sensitivity labels. Immediate overprivilege alerts.

2

Week 2

Governed Indexing Live

Classification ceilings applied at ingest. New agent retrievals are policy-constrained from day one.

3

Week 3

First Agent Registered

Your highest-risk Copilot or custom agent enrolled. Retrieval gateway active. Audit trail running.

4

Week 4

Board-Ready Report

CISO receives a complete AI governance posture report with evidence artifacts for regulators.

Ready to deploy

Govern your Microsoft 365
AI deployments.

Speak with a governance specialist. We'll map your current Copilot and agent exposure in the first call.

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