Relyance AI

What Relyance AI does

Relyance AI is the first AI & Data Security platform that maps every data journey in real-time—from code commit to cloud runtime to AI agents to data stores to third-party—giving complete visibility and control over sensitive data flows. The platform helps security teams detect threats faster, enable AI innovation safely, and automate compliance across privacy and AI governance. It provides a unified data defense platform, Lyo™, which acts as an AI-native data defense engineer, tracing data in motion and providing context for detection and defense. Relyance AI's approach is built on an AI-native architecture, designed for unpredictable data behavior, offering multi-point discovery, context understanding, and autonomous action.

Products

• Lyo™The world's first AI-native data defense engineer, providing continuous, real-time visibility into data journeys across code, runtime, AI models, data stores, enterprise apps, and identities. Lyo™ embodies three specialized experts: a Privacy expert, a Data security expert, and an AI security expert, working as one unified intelligence to understand, detect, and act on data risks.
• Privacy EssentialsA privacy management solution built on a foundational understanding of data. It includes asset and data mapping, automated assessments, unified obligations, and optional add-ons like Universal RoPAs, Data Subject Requests (DSRs), consent and cookie management, and source code analysis.
• AI-SPM (AI Security Posture Management)A capability within Relyance AI that continuously discovers every model, agent, and MCP server that touches data, understanding its actions, identity, and safety. It goes beyond posture awareness to deliver context, monitoring, and recommended remediation for AI assets.
• AI Data Lineage - Training & Runtime PlatformProvides AI-specific data lineage that maps training and runtime data across pipelines, APIs, and models with complete visibility from source to inference. It offers lineage-aware detection, immutable audit trails, and a training-runtime bridge for AI accountability and explainability.
• AI Inventory – Full Lifecycle Management PlatformOffers dynamic AI inventory management with full lifecycle view, including AI footprint discovery, automated AI asset classification, and continuous maintenance of an authoritative view of AI applications and datasets. It also provides immutable AI evidence for regulatory compliance.
• DSPM (Data Security Posture Management) PlatformA dynamic DSPM solution that continuously maps every data risk across code, cloud, AI identities, and third-party ecosystems with full context. It goes beyond traditional static scans to track data in motion, correlate data with identity and behavior, and deliver contextual remediation recommendations.
• AI Regulatory Mapping & Compliance AutomationAutomates regulatory mapping and compliance for AI workflows, aligning them with global frameworks like GDPR, AI Act, and NIST. It provides dynamic regulatory mapping, automated evidence collection, continuous compliance monitoring, and multi-framework intelligence.

Key capabilities

• Real-time data flow intelligence (Data Journeys™)
• Data Exposure Graph connecting data sensitivity, identity permissions, and AI agent behavior
• Continuous, real-time visibility into data movement
• AI-native architecture built for unpredictable data
• Multi-point discovery through code, runtime, infrastructure, and AI systems
• Context-aware defense spanning clouds, third-party tools, AI agents, and MCP servers
• AI-powered risk detection with contextual remediation
• Agentless integrations across the entire stack
• Automated discovery, classification, and inventory
• Continuous monitoring and policy-aware guardrails
• Automated assessments and risk monitoring
• Unified obligations, policies, and contractual controls
• Dynamic regulatory mapping and automated evidence collection
• Natural language querying for risk insights (Ask Lyo™)
• Deployment options: Full SaaS, InHost™, DirectConnect

Use cases

• Detecting threats faster
• Enabling AI innovation safely
• Automating compliance across privacy and AI governance
• Mapping every data journey in real-time
• Surfacing compounding threats from data sensitivity, identity permissions, and AI agent behavior
• Predicting processing activities and mapping vendors automatically
• Automating DSR fulfillment and consent management
• Tracking data movement across code, cloud, SaaS, AI agents, and third parties
• Detecting risk as it forms (e.g., unapproved third-party API data transfer, database misconfiguration)
• Automating privacy operations (data inventory, consent, DSRs, RoPA, PIAs)
• Discovering, classifying, and securing sensitive data across all environments
• Detecting exfiltration, shadow IT, and risky data flows
• Discovering full AI footprint, mapping data lineage, detecting shadow AI, and managing third-party AI risk
• Continuously assessing vendor AI posture
• Automating risk controls for high-risk vendors
• Aligning vendor AI activities with regulations (GDPR, CCPA, PCI, AI Act)
• Securing AI supply chains
• Accelerating vendor reviews and AI integration approvals
• Providing continuous, regulator-ready proof of vendor posture and compliance
• Tracking how data flows through machine learning systems from training to inference
• Identifying unauthorized data usage, policy violations, and compliance gaps in AI workflows
• Establishing and maintaining comprehensive AI footprint inventory
• Preventing untracked or non-compliant data from entering AI models
• Continuously discovering and classifying sensitive data across cloud accounts, data warehouses, SaaS, and AI repos
• Mapping data lineage and data-flow to reveal how sensitive fields traverse ETL processes, APIs, backups, and models
• Correlating users, roles, and service accounts with datasets to expose over-privilege
• Implementing policy-as-code with continuous controls monitoring including Gen-AI guardrails
• Automated remediation (quarantine, encryption, access revocation, ticket creation)
• Maintaining always-fresh audit trails tied to frameworks
• Aligning AI workflows with global regulatory frameworks (GDPR, EU AI Act, NIST)
• Capturing audit-proof evidence in real time
• Flagging compliance drift before audits or enforcement

AI approach

Relyance AI's core product, Lyo™, is an AI-native data defense engineer that traces data journeys in real-time across code, cloud, and AI models. It uses AI to understand data context, detect risks, and provide contextual remediation. The platform is built on AI from the ground up, not legacy tools retrofitted with AI. It employs AI for multi-point discovery, understanding context (business purpose, legal obligation, risk), and autonomous action (continuous monitoring, contextual remediation, policy-aware guardrails). Lyo™ acts as three specialized experts: a privacy expert (automating privacy operations), a data security expert (discovery, classification, exfiltration detection, breach analysis), and an AI security expert (AI inventory, data lineage, shadow AI detection, third-party AI risk management).

Tech named: AI-native architecture, Data Journeys™ technology, AI-based data and document classifiers

What it says sets it apart

• First AI & Data Security platform that maps every data journey in real-time
• Built the foundation first for privacy tools, ensuring all modules are connected and automated
• Lyo™ breaks the cycle of periodic scans by providing continuous, real-time visibility and understanding of data movement and context
• Lyo™ embodies three specialized experts (Privacy, Data Security, AI Security) as one unified intelligence
• AI-native architecture, built from first principles for a non-deterministic world, not legacy tools retrofitted with AI
• Goes beyond posture awareness to deliver context, monitoring, and recommended remediation for AI assets
• AI-specific data lineage tracks complex data transformations unique to machine learning
• Dynamic AI inventory eliminates blind spots and maintains itself through continuous monitoring
• Dynamic DSPM tracks data in motion, correlates data with identity and behavior, and delivers contextual remediation
• Automated regulatory mapping and compliance automation eliminates manual tracking and provides audit-proof evidence
• Rapid implementation speed for Privacy Essentials (2-3 hours vs. months/years for competitors)
• Contract analysis maps keywords with context back to processing activities, unlike other tools that just find keywords
• Provides contextual remediation that assembles the full risk story automatically, eliminating investigation tax
• Low false positives with AI that learns your environment

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.