AI governance and posture management
Classify data. Map data flows
Fix risky flows and unsafe access
Automate AI governance
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The questions we answer
The Question
How Relyance Answers It
01
“What can each agent reach vs. what does it actually need?”
Granted access compared with observed use per agent — the gap is the finding.
02
“Which agents, MCP tools, permissions, and data paths have drifted?”
Tool access, permissions, and paths tracked as they change — not sampled at audit time.
03
“Which agents can combine individually safe capabilities into a dangerous execution path?”
Toxic combinations scored across the whole graph, not permission by permission.
04
“What excess access can be removed without breaking the app?”
Safe-to-remove access computed from observed usage — with the evidence to act on it.
05
“What sensitive data, whose, where, in what state, and how much? What’s the retention?”
A live inventory with owner, location, state, volume, and retention — current from real flows.
Explore use cases
The coverage doesn’t stop here.
01
Code review for data exposure and remediation
Block dangerous data access paths before a new release.
02
Coming Soon
AI runtime enforcement
Enforce permitted data use. Prevent data exfil.
03
AI governance and posture management
Continuously reduce your Al x identity x data blast radius.
04
End-to-end privacy automation
Meet every privacy obligation without growing the privacy team.