Autonomous Sensitive Data Discovery & Classification with Data Lineage
Continuously secure sensitive data across code, cloud, SaaS, and AI pipelines with autonomous discovery that maps every sensitive data flow from source code to AI models, providing real-time classification and automated lineage tracking to prevent exposure before it spreads.
Get a demoWhy is autonomous data discovery better than traditional DSPM tools?
Unified Coverage
Complete view across your data processing ecosystem without gaps.
Contextual Intelligence
Auto-tagging by sensitivity, purpose, and owner with business context that enables intelligent risk decisions.
Real-time Risk Containment
Detects and halts risky data flows before they spread, preventing exposure incidents through proactive intervention.
Custom Match Rules
Add proprietary detectors (e.g., TENANT_ID, customer secrets) to cut false positives and reduce security noise.
How does autonomous data discovery work from detection to remediation?
Continuously scans code, cloud runtime, data stores (structured and unstructured), SaaS, AI pipelines. Classifies sensitive data and labels it with the right business context. Learn more about data classification in information security.
Correlates data to vendors, geographies, identities, lawful basis. Links RoPA entries to actual data flows (sources, transformations, storage, retention, purposes). Read more about AI data lineage.
Maps digital assets to owner, data retention, lawful basis. Enforces control checks against regulations, policies, and compliance frameworks. Learn about Data Journeys for comprehensive visibility.
Maintains continuous audit-ready records with timestamps. Controller and processor RoPAs, DPIAs, etc. with near real-time completeness checks. Learn about unified security posture management.
Recommends fixes, and mitigation strategies within code, configs, retention, or vendor changes. Report untagged/non-compliant data flow or use. Discover data and access governance best practices.
What business value does autonomous data discovery provide?
Comprehensive Coverage
Eliminate blind spots attackers could exploit with ≤24 hours freshness across all data processing systems.
Reduced Manual Effort
Embed governance directly into dev and AI pipelines, reducing manual tagging and mapping by up to 80%.
Always Audit-Ready
Maintain live, breach-ready inventory with guaranteed SLAs for regulatory compliance and incident response.
The complete picture of your data in motion
Ditch legacy tools that miss the action with continuous tracking that follows data flows from source code to AI models, predicting and preventing violations in real-time. Learn about Data Journeys breakthrough technology.
“AI is creating and moving data faster than any team can track. Only AI-native tools like Relyance can keep up with the discovery and enforcement loop.”
"With Relyance AI, we established enhanced visibility of data processing activities, seeing an impressive increase of 1,660% within three weeks of deployment."
FAQ
What is autonomous sensitive data discovery and classification?
Autonomous sensitive data discovery and classification uses AI to continuously scan and identify sensitive data across code, cloud, SaaS, and AI systems without human intervention. It automatically tags data with business context, maps lineage, and provides real-time visibility into data flows for comprehensive security coverage. Learn more about data security posture management solutions.
How does real-time data lineage tracking improve security?
Real-time data lineage tracking shows how sensitive data moves and transforms across systems in real-time, revealing hidden exposure paths like unsafe logging or unauthorized copies. This visibility enables proactive threat prevention by identifying risky data flows before they become security incidents. Discover how AI data lineage tracking works.
What makes autonomous classification better than manual approaches?
Autonomous classification operates continuously at machine speed, processing data flows in real-time across all environments. Unlike manual approaches that create outdated snapshots, autonomous systems maintain live visibility with contextual intelligence that adapts to changing business requirements and threat landscapes. Read about real-time AI governance approaches.
How quickly does autonomous discovery detect new sensitive data?
Autonomous discovery operates in real-time with detection freshness of ≤24 hours across all environments. The system immediately identifies new sensitive data in code commits, database changes, SaaS uploads, and AI training datasets, enabling rapid risk containment. Learn about the Data Defense Engineer capabilities.
Which environments does autonomous data discovery support?
Autonomous data discovery provides unified coverage across code repositories, cloud runtime environments, structured and unstructured data stores, SaaS applications, and AI/ML pipelines, eliminating gaps between different security tools and providing complete ecosystem visibility. Explore unified trust and governance systems.
