Your AI Governance Expert.
Code to Cloud.

Secure and govern shadow and agentic AI across your entire AI lifecycle. From model discovery to risk assessment, eliminate blind spots and ensure continuous compliance while your teams deploy AI at speed.

AI adoption outpacing oversight

AI is moving faster than governance. Shadow tools, fragmented oversight, and mounting regulations create blind spots that slow innovation while leaving real risks unchecked.

Shadow AI everywhere

  • Only 24% of AI initiatives are properly secured
  • 65% of AI tools operate without IT approval
  • Engineering teams deploy AI features daily without oversight

Regulatory complexity exploding

  • New AI regulations across jurisdictions quarterly
  • Manual assessments can't keep pace with deployment velocity
  • Compliance gaps between AI development and governance teams

Innovation vs. governance tension

  • AI governance reviews slow deployment by weeks
  • Fragmented tools miss AI-specific risks entirely
  • Traditional governance treats AI data as passive information

Complete AI governance automation

Transform AI governance from innovation blocker to business enabler.

Live AI Inventory and Shadow
AI Discovery

Continuous discovery of all AI assets — with automated Shadow AI detection, sensitive data leakage monitoring, and full lifecycle visibility from development through production.

What you get:

  • Real-time visibility into first-party and third-party AI applications
  • Comprehensive visibility into AI within SaaS vendor apps
  • Live AI footprint discovery with Shadow AI tracked from build → training → runtime

Comprehensive AI Data Lineage

End-to-end visibility into how data moves through your AI applications, from training pipelines and datasets to runtime prompts and outputs, with full lifecycle traceability.

What you get:

  • Continuous mapping of sensitive AI data flows across training and runtime
  • Detection of risky data transformations, exposures, or leakage points in AI workflows
  • Unified data lineage across first-party, third-party, and Shadow AI applications

Continuous AI Governance and Compliance

Continuously detect compliance gaps, enforce policies tied to regulatory obligations, and surface AI risks across first-party, third-party, and SaaS vendor applications.

What you get:

  • Gap detection mapped to EU AI Act, ISO 42001, NIST AI RMF, and beyond
  • AI risk assessments across first-party, third-party, and SaaS vendor AI
  • Policy-driven monitoring that proactively surfaces risks before violations
powered by Data Journeys™

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.

The difference: Built for AI-era governance

Traditional governance tools weren't designed for AI. We track AI-specific risks in real-time.

The difference: Built for AI-era governance

Traditional governance tools weren't designed for AI. We track AI-specific risks in real-time.

AI-native architecture

Purpose-built for AI workflows with deep understanding of model lifecycles, training data governance, and AI-specific compliance requirements.

Real-time AI monitoring

Unlike static point-in-time assessments, we deliver continuous moniUnlike periodic audits, we monitor AI systems continuously. Detect data drift, bias, and compliance violations as they happen.toring that adapts as your systems evolve and data flows change.

Unified AI and data governance

The only platform that governs both your data and AI systems together. See how data flows into models and what models produce.

Secure and govern AI with unified security posture
management

Eliminate AI blind spots and ensure continuous compliance across your entire AI footprint.

You may also like

The tectonic shift: Why data security must be rebuilt for the age of superintelligence

September 9, 2025
The tectonic shift: Why data security must be rebuilt for the age of superintelligence

Building cloud inventory at scale: Why we chose Delta Lake over traditional databases

September 2, 2025
Building cloud inventory at scale: Why we chose Delta Lake over traditional databases

Inside Relyance AI's Culture: "Being Data-Driven"

August 29, 2025
Inside Relyance AI's Culture: "Being Data-Driven"