AI Inventory – Full Lifecycle View of 1st Party, 3rd Party & SaaS AI
Continuous sensitive data detection across code, cloud, SaaS, and AI pipelines that eliminates blind spots by uncovering all AI applications, shadow AI, and their training/inference datasets while maintaining a dynamic, authoritative view of AI assets across the enterprise.
Get a demoWhy is dynamic AI inventory better than static AI registries?
AI Footprint Discovery
Eliminates blind spots by uncovering all AI applications, shadow AI, and their training/inference datasets across environments.
Automated AI Asset Classification
Tags every AI asset with sensitive data, regulatory scope, compliance risk tiering, and governance posture automatically.
Dynamic AI Inventory
Maintains a continuously updated, authoritative view of AI applications and AI datasets across the enterprise without manual maintenance.
Immutable AI Evidence
Ensures regulator-ready AI inventory with version history and automated evidence mapped to EU AI Act, NIST RMF, and SOC2.
How does AI inventory management work from discovery to governance?
Eliminates blind spots by scanning code, SaaS, cloud, and pipelines to inventory all AI applications and their training/inference datasets, including shadow AI. Learn more about AI inventory management advantages.
Maps how datasets flow into models and pipelines. Detects shadow AI usage and sensitive/regulatory data exposure across the footprint. Read more about shadow AI governance best practices.
Maintains a dynamic AI inventory with ownership, compliance attributes, and dataset context to guide security and governance decisions. Learn about unified trust governance capabilities.
Ensures an immutable, regulator-ready AI inventory with version history and automated evidence mapped to EU AI Act, NIST RMF, and SOC2. Discover data inventory management foundations.
Closes gaps by flagging untracked AI apps, risky datasets, or shadow AI usage, and triggers governance/security workflows to contain risk.
What business value does AI inventory management provide?
Comprehensive AI Footprint Inventory
Single source of truth for all AI models, AI services, AI datasets and shadow AI across the enterprise with complete visibility.
Audit-Ready AI Inventory
Verifiable dataset lineage and compliance controls aligned to EU AI Act, NIST RMF with immutable evidence trails for regulatory reporting.
Reduced Security & Governance Risk
Prevent untracked or non-compliant data from entering AI models through automated discovery and risk classification.
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 minutes of connecting Relyance AI, we had total visibility of our vendors and services. That speed and simplicity changed everything."
"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."
FAQ
What is AI inventory management with full lifecycle view?
AI inventory management with full lifecycle view provides continuous discovery and tracking of all AI applications, models, and datasets across 1st party, 3rd party, and SaaS environments. It maintains a dynamic, authoritative inventory that includes shadow AI detection, asset classification, and regulatory compliance mapping throughout the complete AI lifecycle. Learn more about dynamic AI inventory advantages.
How does AI footprint discovery work across environments?
AI footprint discovery scans code repositories, cloud environments, SaaS applications, and data pipelines to automatically identify all AI applications and their associated training and inference datasets. This eliminates blind spots by detecting both sanctioned and shadow AI usage without requiring manual surveys or registration processes. Discover comprehensive data visibility capabilities.
What makes automated AI asset classification different?
Automated AI asset classification tags every discovered AI asset with sensitive data indicators, regulatory scope, compliance risk tiers, and governance posture without manual intervention. This provides instant context for security and compliance decisions while maintaining accuracy as the AI landscape evolves. Read about AI governance best practices.
How quickly can AI inventory be established and maintained?
AI inventory establishment begins immediately upon deployment with automated discovery providing comprehensive visibility within hours. The dynamic inventory maintains itself through continuous monitoring and automated updates, ensuring accuracy without manual maintenance or periodic surveys that quickly become outdated.
Which compliance frameworks does AI inventory management support?
The platform supports comprehensive compliance mapping for EU AI Act, NIST AI RMF, SOC 2, ISO 27001, and other regulatory frameworks. It automatically generates evidence trails and maintains immutable audit records that demonstrate AI governance compliance for regulatory reporting and third-party assessments. Explore third-party risk management integration.
