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Relyance AI

Paid

Stop Scanning. Start Understanding. Real-Time Data Intelligence.

4.5
Inputs: code
Type
Saas
Company
Relyance AI

About Relyance AI

Relyance AI is an AI data security platform that provides real-time data intelligence across code, cloud, SaaS, and AI systems. It unifies data security, AI security, and privacy into a single platform, replacing three separate tool stacks. The platform features Lyo, a natural language query engine that delivers complete context chains—what's wrong, why it matters, who's involved, what regulation applies, and how to fix it. Relyance AI includes dynamic DSPM for discovering and classifying sensitive data, AI agent visibility with MCP server discovery, and automated privacy compliance including dynamic ROPAs, DSR fulfillment, and auto-filled DPIAs. The Data Exposure Graph connects data sensitivity, identity permissions, and AI agent behavior to surface compounding threats.

Key Features

Code-to-cloud dynamic DSPM that discovers and classifies sensitive data across code, cloud, SaaS, and AI systems
Continuous detection of exfiltration, shadow data, and misconfigurations
AI security expert with full AI footprint mapping, compound risk detection, and MCP server discovery
Automated global privacy compliance including data mapping, consent, DSRs, RoPA, and privacy assessments
Natural language query interface (Lyo) that provides full context chains with actionable remediation
Data Exposure Graph connecting data sensitivity, identity permissions, and AI agent behavior
Unified AI and non-AI asset inventory with shadow AI detection and onboarding
Dynamic ROPAs from continuous code scanning and DSR fulfillment in minutes

Pros & Cons

Pros
  • Unified platform covering data security, AI security, and privacy compliance
  • Real-time data flow intelligence with natural language querying
  • Automates manual compliance workflows (RoPA, DPIAs, DSRs) reducing time from weeks to minutes
  • Provides full context chains for security incidents, including regulatory applicability
  • Continuous, pipeline-aware drift detection and misconfiguration identification

Best For

Identifying which AI agents can access customer PII in productionDetecting data flowing to unapproved third partiesTracking changes in data flows for security and complianceEnsuring GDPR Article 30 compliance in real timeManaging and governing agentic AI systems with identity intelligenceAutomating privacy impact assessments and vendor reviewsGaining visibility into shadow AI and third-party data sharing

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