Find sensitive and regulated data fueling AI models and copilots

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  • Discover PII, secrets, credentials, and toxic data across training sets, data lakes, SaaS, and cloud environments
  • Uncover unknown data sources feeding copilots and GenAI services

  • Detect and quarantine sensitive data before it’s ingested, exposed, or surfaced in model outputs
  • Catch early-stage misconfigurations and misuses before they escalate

  • Trace how sensitive data is used across models, copilots, and AI services
  • Enforce purpose limitation, residency, and usage policies across AI workflows

  • Automate policy checks for compliance and security violations
  • Flag risky behavior, overexposed models, and rogue access patterns in real time

Training Data Risk

  • Identify PII, PHI, credentials, and IP in training datasets

  • Surface bias, drift, and regulatory violations before they’re baked into the model

  • Map lineage from raw data to model outputs to support explainability

Shadow AI & Copilot Exposure

  • Detect unauthorized AI tool usage (e.g. unsanctioned copilots, chatbots)

  • Prevent sensitive data from being ingested, processed, or surfaced by GenAI models

  • Discover when sensitive info is being shared via Slack, email, or code

AI Access Governance

  • See who has access to AI data, models, and pipelines

  • Enforce least privilege and zero trust controls for users and workloads

  • Detect excessive permissions or toxic access combinations

AI Privacy & Compliance Risk

  • Align AI data practices with frameworks like the EU AI Act, GDPR, CPRA, and NIST AI RMF

  • Automate privacy impact assessments and AI risk evaluations

  • Identify where AI violates data minimization, purpose limitation, or residency requirements

Insider & Data Leakage Risk

  • Monitor how sensitive data flows into and out of AI systems

  • Detect when confidential or toxic data is unintentionally exposed or misused

  • Trigger automated remediation: redact, revoke, quarantine, or delete

AI Model Exposure & Explainability Gaps

  • Understand how sensitive data impacts model behavior, predictions, and output

  • Map training data lineage to improve explainability and traceability

  • Support audit readiness and regulatory response with detailed visibility into what data shaped your models

Don’t Let AI Risk Catch You Off Guard.

Discover, govern, and reduce AI risk - before it becomes exposure.

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