Relyance AI Introduces Runtime Guardrails for AI Systems

Summary

Relyance AI presents an AI security and governance platform built to inspect and control how AI applications, agents, copilots, and coding agents use data and take actions. Its discovery and classification functions identify sensitive information and map data lineage, while agent blueprints describe what an AI system is allowed to do. The Relyance Guard runtime layer evaluates each action against the data involved, the agent's approved scope, and configured policies. In one example, it detects personally identifiable information in a support ticket and attached order form, removes or blocks card, address, SSN, and order data from reaching a third-party model, and allows the request to continue after redaction. A payment-agent example blocks an injected instruction that would trigger refunds above the approved limit while allowing routine refunds within scope. For coding agents, the product blocks access to production credentials, real customer rows, and unsafe database cloning, while permitting schema-only work with synthetic data. It also prevents customer lists and internal files from being sent to public AI tools while allowing ordinary drafting. The page positions these controls as an enforcement loop connecting data understanding, agent permissions, and runtime policy enforcement, and includes customer testimonials about improved visibility into data flows.