Proactive Shadow IT + Shadow Data Detection
Continuous digital asset and sensitive data flow detection across code, cloud, SaaS, and AI pipelines that identifies unapproved apps and unsanctioned data stores while orchestrating migration or decommissioning of rogue systems at scale.
Get a demoWhy is proactive shadow IT detection better than reactive discovery?
Code, Cloud and AI Data Supergraph
Identifies unapproved apps and unsanctioned data stores across all environments without blind spots.
Automated Response
Orchestrates migration or decommissioning of rogue systems at scale through integrated workflow automation.
Context-Aware Risk Scoring
Prioritizes shadow data risks based on sensitivity, ownership, and regulatory exposure for efficient remediation.
What Changed Intelligence
Provides 'what changed' diffs (PR, schema, vendor, region) for forensic analysis and impact assessment.
How does shadow IT detection work from discovery to remediation?
Agentless code scans, CI/CD, runtime, SaaS, data-at-rest, and AI endpoints to auto-discover shadow apps, rogue storage, ad-hoc copies, and AI; tags tenant, owner, geo, and purpose. Learn more about data visibility capabilities.
Identifies sensitive data in unsanctioned or unmonitored systems with contextual tagging. Builds Data Journeys to show where the shadow system sits in the flow. Build best practices with shadow AI governance.
Auto-notifies owners, triggers approval / migration / decommission workflows, ranks findings by risk factors, and provides 'what changed' diffs (PR, schema, vendor, region). Learn about unified trust governance.
Logs and preserves actions for audit trails, regulatory proof, and all the standard compliance workflows with immutable evidence collection. Discover privacy as code integration.
Recommends migration or decommission of rogue systems, enforces closure of shadow loops, opens Jira/ServiceNow, and pushes guardrails via IAM, storage, CASB, or API gateways. Learn about DevSecOps integration workflows.
What business value does shadow IT detection provide?
Rogue Data Source Elimination
Eliminate blind spots attackers exploit by discovering and securing all unauthorized data repositories.
Faster Shadow App Remediation
Reduce dwell time of unmonitored systems through automated discovery and orchestrated response workflows.
Complete Compliance Visibility
Achieve full audit-ready coverage of data sources and workflows with comprehensive shadow asset mapping.
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 proactive shadow IT and shadow data detection?
Proactive shadow IT and shadow data detection continuously monitors across code, cloud, SaaS, and AI environments to identify unauthorized applications and unsanctioned data stores before they create security risks. Unlike reactive approaches, it discovers shadow assets in real-time and automatically triggers remediation workflows. Read about data defense capabilities.
How does the Code to Cloud to AI data supergraph work?
The data supergraph provides unified visibility across all environments by connecting code repositories, cloud infrastructure, SaaS applications, and AI systems into a single comprehensive view. This eliminates blind spots between different platforms and reveals hidden data flows that traditional tools miss. Discover comprehensive data visibility.
What makes automated response different from manual remediation?
Automated response orchestrates migration or decommissioning workflows at scale through integrated task management and policy enforcement. Instead of manual discovery and remediation, the system automatically notifies owners, triggers approval processes, and implements controls through existing security infrastructure. Read about AI governance automation.
How quickly can shadow IT assets be detected and remediated?
Shadow IT assets are detected continuously through real-time monitoring across all environments. The system immediately identifies new unauthorized applications and data stores, then triggers automated workflows for assessment and remediation, significantly reducing dwell time compared to traditional discovery methods.
Which environments does shadow IT detection monitor?
The platform provides comprehensive monitoring across code repositories, CI/CD pipelines, cloud runtime environments, SaaS applications, data-at-rest storage, and AI endpoints. This agentless approach ensures complete coverage without requiring software installation or system modifications. Explore third-party risk management integration.
