AI governance and data posture management
Know and govern your entire AI footprint and the data it touches
Get an always-current inventory of every AI system, the data it uses, and where that data goes, so you can secure, govern, and comply without chasing teams for answers in an endless loop.
What you get
Know every AI system in production. Catch shadow AI.
Agents, models, RAG pipelines, and MCP servers inventoried by source and traffic, with the customer data each one touches. The answer exists before the board, auditor, or regulator asks.
Catch the risky path in the release, not the incident.
Every code merge is checked for new routes from untrusted input to a privileged tool or dataset. The finding points to the line of code that caused it.
Risk, drift, and policy violation monitoring continuously, not in a quarterly review.
New agents, tools, permissions, and vendors appear the day they ship. You review a diff and proactively manage risk without chasing spreadsheets or outdated documents.
CAPABILITIES
Discover AI. Classify data. Map lineage.
We scan your code, cloud, and traffic once. You get a list of every AI tool and where its data goes.
Inventoried from source
We find every AI tool by reading your code and watching real traffic. Nobody has to fill out a form.
Classified everywhere
We label sensitive data, like card numbers or health records, the same way everywhere it shows up.
Lineage across every data hop
We follow each piece of data from where it starts to every AI tool and vendor it reaches.
Automate AI governance and data posture management.
Posture becomes a check that runs on every merge, with the customer commitment it protects.
Risks flagged continuously with remediation attached
Relyance watches every AI system all the time and flags a new risk the moment it appears, with the rule it breaks.
Your policies and controls, in plain English
Write a rule the way you would say it. Relyance turns it into a check and monitors every AI system for it.
Evidence, not policy text
Audit-ready records are generated on demand, each with commit and owner attached.
Fix risky flows. Remove unsafe access.
We check what each AI actually does with its access, not just what it is allowed to do.
See who used what data
Every time sensitive data is read or changed, you see which person or AI did it and why.
Remove access nobody needs
We find shared or unused passwords and keys, show how they are used, and suggest a fix you can approve.
Break risky combinations
Some risks only appear when two things combine, like reading customer data and sending email. We cut the link so the risk goes away and the app keeps working.
HOW IT WORKS
Six surfaces. One graph. Updated on every release.
Read-only connectors pull code structure, runtime metadata, and identity configuration — never payloads. The graph joins them so a finding carries the data, the identity, the path, and the owner together.
1
Code and CI: agents, prompts, tools, and the data they reference
2
Runtime traffic and model providers: what actually gets called
3
Data stores and cloud accounts: what is held, where, and how sensitive
4
Identities and permissions: who each agent really runs as
Deployment options
How it connects
Read-only connectors for Git, CI, cloud accounts, warehouses, model providers, and identity providers. Nothing is installed in your data path.
What it reads
Code structure, runtime metadata, and configuration. Relyance stores the graph and findings, not your data or your prompts.
Where findings go
Routed to the owning team as a PR comment, Jira ticket, or Slack message, each with commit, path, and the commitment at stake.
See your own exposure map before you decide anything.
Connect one repo and one cloud account in the demo. You leave with the AI inventory, the lineage graph, and the first three risky flows — whether or not you buy.
Free exposure map
Read-only connectors, nothing installed
Results in the same session
Export stays with you