Relyance AI Capabilities
Relyance AI has two capabilities. This page covers what each does. Capabilities in Depth has the detailed features and use cases.
| Capability | What you get |
|---|---|
| AI Security and Governance | AI Governance: discover AI, classify data, map flows, map access, enforce policy, and automate governance workflows. AI Evals and Runtime Guardrails: AI evals tailored to your business and AI use cases, run before every release and enforced at runtime |
| Privacy Automation | ROPAs and data maps from live flows; DSR (privacy rights automation), assessment, and consent automation |
AI Security and Governance
Component 1: AI Governance
Know every AI path to your data. Close the risky ones.
- Discover AI. Classify data. Map flows.
- Understand access and data use.
- Close risky exposure. Enforce policy.
- Automate AI governance and data posture management.
Component 2: AI Evals and Runtime Guardrails
Evals built for your business, not a generic benchmark. Enforced in production.
- Tailored, business-specific AI evals; run pre-launch.
- Enforce alignment.
- Stop data exfiltration.
- Prevent prompt injection.
- Block unauthorized actions.
Generic and open-source safety evals don't know your pricing, customers, business goals, constraints, or policies, so they don't hold up in production. Relyance builds evals tailored to your business and each AI use case, runs them before every release, and enforces the same rules as runtime guardrails.
Privacy Automation
Relyance generates ROPAs and data maps from live data flows, so they stay current with no manual upkeep. It automates DSRs, assessments (DPIAs, PIAs, and AI risk), and consent on the same graph the security capability uses. When a data flow changes, the records that describe it change with it. The observed flows are your evidence.
One graph underneath
Both capabilities read from Data Journeys, the graph Relyance builds from your connected systems. How Relyance AI Works explains how.