Shadow AI Detection & Onboarding
Continuously discover unapproved or "shadow" AI tools, models, and APIs with automated validation workflows that align AI tools with security and compliance controls while enforcing policy gates before production use.
Get a demoWhy is proactive shadow AI detection better than reactive discovery?
Shadow AI Discovery
Continuously surfaces unapproved models, APIs, and SaaS usage across environments without relying on self-reporting or manual audits.
Risk-Based Onboarding
Automates validation workflows, aligning AI tools with security and compliance controls for safe adoption at scale.
Policy-as-Code Enforcement
Blocks shadow AI until it passes defined governance and onboarding gates, preventing unauthorized production deployment.
Live Asset Inventory
Maintains real-time visibility of all AI tools and models with continuous compliance status tracking and audit trails.
How does shadow AI detection and onboarding work from discovery to compliance?
Scans code, AI pipelines, and SaaS usage to identify shadow AI tools and unapproved model/API calls. Builds a live inventory of detected assets. Learn more about shadow AI governance.
Classifies shadow AI by risk level, data accessed, and compliance impact. Flags high-risk use such as ungoverned training or sensitive data access. Read more about real-time AI governance.
Routes shadow AI through onboarding workflows. Applies risk priorities, assigns ownership, and enforces policy gates before production use. Learn about AI governance challenges and solutions.
Maps approved AI tools and models to GDPR, CCPA, HIPAA, and AI Act obligations. Maintains audit-ready onboarding records and consent context. Discover AI governance metrics tracking.
Provides remediation tasks for owners to align tools with security, privacy, and compliance requirements while maintaining continuous monitoring for drift. Learn about privacy as code integration.
What business value does shadow AI detection and onboarding provide?
Reduced AI Blind Spots
Gain full visibility into unauthorized AI usage across code, pipelines, and SaaS environments for complete governance coverage.
Faster Innovation with Guardrails
Safely onboard AI tools without slowing adoption through automated validation workflows and risk-based approvals.
Improved Compliance Assurance
Ensure all AI assets meet regulatory and contractual obligations before production use with continuous compliance validation.
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."
"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 shadow AI detection and onboarding?
Shadow AI detection and onboarding continuously monitors code, pipelines, and SaaS usage to identify unauthorized AI tools, models, and APIs, then routes them through automated validation workflows to ensure security and compliance before production use. This prevents governance gaps while enabling safe AI adoption at scale. Learn more about EchoLeak AI governance lessons.
How does continuous shadow AI discovery work?
Continuous shadow AI discovery scans code repositories, AI pipelines, and SaaS applications in real-time to identify unapproved AI usage without relying on manual reporting. The system automatically classifies detected AI tools by risk level, data access, and compliance impact while building a live inventory of all AI assets. Discover unified trust governance capabilities.
What makes risk-based AI onboarding different from manual approvals?
Risk-based AI onboarding automatically prioritizes validation workflows based on data sensitivity, compliance requirements, and business impact rather than treating all AI tools equally. High-risk tools with sensitive data access receive immediate attention while low-risk tools follow streamlined approval paths, accelerating safe innovation. Read about real-time AI governance resources.
How quickly can shadow AI be detected and onboarded?
Shadow AI detection operates in real-time across all environments, immediately identifying new unauthorized tools and triggering appropriate onboarding workflows. The automated validation process can approve low-risk tools within hours while high-risk tools receive comprehensive assessment, dramatically reducing time-to-compliance compared to manual processes.
Which compliance frameworks does shadow AI onboarding support?
The platform supports comprehensive compliance validation against GDPR, CCPA, HIPAA, AI Act, and custom organizational policies. It automatically maps AI tool capabilities to regulatory requirements and maintains audit-ready documentation of onboarding decisions and compliance status for all approved AI assets. Explore data and access governance integration.
