Clarip vs Relyance AI

Clarip has no write-up on Specifiction yet; its figures are above.

Relyance AI’s Lyo platform traces data journeys from code through cloud environments to AI models, with tools for data security, privacy operations, and AI governance. It inventories AI agents, models, RAG, and MCP, shows their permission reach, and can block over-scoped agents in CI/CD. The data security layer classifies sensitive information, monitors it in motion, and describes adaptive DLP enforcement at gateways. Privacy workflows use live data flows to automate data maps, records of processing activities, consent, assessments, and data subject requests. Its Data Exposure Graph connects data sensitivity, identity permissions, and agent behavior to surface connected threats. The company describes agentless coverage across code, cloud, data warehouses, identity providers, AI platforms, SaaS, and observability, naming integrations including GitHub, AWS, Snowflake, Okta, OpenAI, Salesforce, and Datadog. Deployment options are full SaaS, InHost within a customer’s VPC, and DirectConnect private link. Runtime actions such as masking or blocking requests are marked private beta. Pricing is on request; a trial is offered subject to eligibility criteria.