Autonomous Data Inventory, Mapping, & RoPA
Autonomous data inventory, mapping, and RoPA automatically discovers, classifies, and documents all data processing activities across your organization. This eliminates manual effort by continuously scanning code, cloud, SaaS, and AI pipelines for sensitive data detection across structured and unstructured stores.
Get a demoWhy is AI-native data inventory better than legacy approaches?
Real-Time Map and RoPA
Code, runtime, IaC, SaaS, and API pipelines; no stale scans
Data Journey Linkage
Maps RoPA entries to actual observed flows (sources, retention, geos)
Full Context Capture
Asset lineage, vendors, entitlements (IAM/ACL), processing purposes, and jurisdictions
Continuous Policy Evaluation
Map assets & data flows against ISO 27001, GDPR, CPRA, AI Act, etc.; flag misalignments instantly
How does autonomous data inventory work from discovery to compliance?
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 what is a data inventory.
Correlates data with vendors, geos, identities, and lawful basis; links RoPA to real flows; detects processing drift and policy gaps. Read more about data processing agreements.
Maps digital assets to owner, data retention, lawful basis. Enforces control checks against regulations, policies, and compliance frameworks. Learn about AI data lineage for comprehensive visibility.
Maintains continuous audit-ready records with timestamps. Controller and processor RoPAs, DPIAs, etc. with near real-time completeness checks. GDPR Article 30 compliance guide.
Recommends fixes, and mitigation strategies within code, configs, retention, or vendor changes. Report untagged/non-compliant data flow or use. See how data inventory eases incident recovery.
What business value does autonomous data inventory provide?
Accelerate Innovation
Comprehensive coverage with a unified view across structured code, DBs, object storage, SaaS APIs, and AI pipelines increasing confidence behind safe data use.
Cost Savings
Eliminate hours of manual data mapping and compliance delays with automated, real-time workflows. Learn about building a sustainable privacy program.
Reduce Reactive Firefighting
Auto-detection of PII/PHI in prod-to-non-prod flows, keys/secrets in code, misaligned retention tags.
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.
"Within 15 mins of connecting to Relyance AI, we had total visibility of our vendors and services. That speed and simplicity changed everything."
"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 data inventory, mapping, and RoPA?
Autonomous data inventory, mapping, and RoPA is an AI-powered approach that automatically discovers, classifies, and documents all data processing activities across your organization. It eliminates manual effort by continuously scanning systems, generating Records of Processing Activities (RoPA), and maintaining real-time compliance documentation. Learn more about building AI transparency for trustworthy governance.
How does autonomous RoPA generation work?
Autonomous RoPA generation uses AI to automatically create and maintain Records of Processing Activities by linking discovered data to actual processing flows, legal bases, and retention periods. The system continuously updates RoPA entries as data flows change, ensuring compliance documentation stays current without manual intervention. Get insights on what is a RoPA.
What makes autonomous data inventory better than manual approaches?
Autonomous data inventory provides continuous, real-time discovery across all systems including code, cloud, SaaS, and AI environments. Unlike manual approaches that create outdated snapshots, autonomous systems maintain live maps of data flows, automatically classify sensitive data, and generate compliance documentation with 99%+ accuracy. Discover AI inventory management advantages.
How quickly can autonomous data inventory be implemented?
Autonomous data inventory platforms typically provide initial results within 15 minutes of deployment. Complete data mapping and RoPA generation across enterprise environments is usually completed within 1-2 weeks, with continuous monitoring and updates happening automatically in real-time thereafter.
Which systems does autonomous data inventory support?
Autonomous data inventory supports comprehensive discovery across code repositories, cloud storage (structured and unstructured), databases, SaaS applications, AI/ML pipelines, data warehouses, and third-party services. The platform automatically integrates with existing security, compliance, and data management tools. Read about evaluating AI governance tools for modern enterprises.
