AI Governance
Adopt GenAI without losing control of your sensitive data
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Generative AI reuses sensitive data beyond the limits of legacy permissions, dramatically expanding the enterprise risk surface and exposing organizations to uncontrolled access and data loss.
Uncontrolled AI access to sensitive data
GenAI tools can access and reuse regulated and confidential data across cloud and on-prem environments, often without clear visibility or policy guardrails.
Identity sprawl magnifies AI risk
Over-permissioned users, guest accounts, service accounts and stale identities dramatically expand the blast radius when AI tools surface data.
Legacy permissions weren’t built for GenAI
Hidden access paths, misconfigurations, and excessive privileges allow AI to expose far more data than originally intended.
No visibility into AI-driven activity
Without real-time monitoring of prompts, data usage and anomalous behavior, sensitive information can be surfaced, shared or exfiltrated before security teams react.
Use cases
Secure AI by reducing sensitive data exposure
Discover sensitive data before AI does
Continuously scan file servers and cloud repositories to identify regulated, confidential, and business-critical data before copilots or LLMs can access and reuse it.
Classify data with AI-aware context
Apply high-fidelity classification to detect semantic sensitivity, legal strategy, intellectual property, and regulated content so AI systems respect business and compliance boundaries.
Reduce overexposed data access
Identify excessive, inherited, and stale permissions across repositories, then remediate risky access paths to shrink the blast radius before AI amplifies exposure.
Enforce least privilege for AI data
Align access with business need using automated entitlement reviews, just-in-time privilege, and identity context to prevent sensitive datasets from broad or unintended AI access.
Prevent sensitive data in LLM prompts
Detect and block regulated or confidential content pasted into public AI tools, reducing accidental leakage, shadow AI misuse, and AI-driven data exfiltration.
Monitor and respond to AI-driven risk
Correlate data sensitivity, identity activity, and abnormal access patterns to detect risky AI behaviors early and trigger automated containment and remediation workflows.
The Netwrix approach
Control sensitive data before AI amplifies risk
Why Netwrix for AI governance?
Generative AI is transforming enterprise IT—but it also reuses sensitive data in ways legacy permissions were never designed to control. The result is a dramatically expanded risk surface for CISOs. Netwrix secures GenAI adoption by exposing sensitive and shadow data, revealing risky access, and reducing data exposure before AI amplifies it
Capabilities that deliver AI Governance.
