Discover AI Models Across the Environment

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  • Automatically uncover deployed or unapproved AI models across cloud, SaaS, developer sandboxes, and internal systems.
  • Detect unauthorized model usage before it leads to risk or compliance violations.
  • Maintain a comprehensive inventory of all models, not just the ones IT knows about.

  • Scan for regulated, personal, or proprietary data feeding into AI models, prompts, or training pipelines.
  • Detect if sensitive data is powering copilots, LLMs, or RAG workflows without approval.
  • Prioritize action based on data sensitivity and AI usage type.

  • Link every model to the data it consumes and the teams or individuals responsible.
  • Combine model metadata with identity-aware data mapping for full context.
  • Enable targeted investigations and policy enforcement based on usage behavior.

  • Trigger workflows to restrict access, alert stakeholders, or quarantine datasets from a single platform.
  • Label unapproved AI usage, enforce governance policies, and reduce risk in real time.
  • Move from passive discovery to proactive control — without switching tools.

Unauthorized AI Model Detection

  • Uncover hidden, unmanaged, or unregistered models across your infrastructure
  • Expose shadow AI before it causes security, compliance, or data leakage risks
  • Gain visibility into experimental or unsanctioned AI projects across teams

Sensitive Data Usage in AI

  • Identify if sensitive or regulated data is used in training, inference, or prompts
  • Prevent high-risk datasets from entering AI pipelines without approval
  • Protect customer data, IP, and regulated content from unauthorized model access

AI Activity Correlation & Investigation

  • Understand how specific models are using data — and who’s behind them
  • Map AI usage to business units, developers, or third-party services
  • Investigate suspicious or out-of-policy activity with full context

Risk-Based Prioritization

  • Prioritize shadow AI threats based on sensitivity of data, model access, and usage frequency
  • Separate minor violations from critical ones to focus efforts where it matters
  • Use risk scoring to drive remediation and reporting

Remediation & Governance Enforcement

  • Automatically trigger alerts, access revocation, or data quarantine when risk is detected
  • Label or block high-risk models from consuming sensitive data
  • Enforce AI usage policies across the data estate, from file shares to cloud apps

Shadow AI Visibility Across Hybrid Environments

  • Monitor AI activity in collaboration tools, cloud shares, email, and unstructured formats
  • Capture decentralized model and dataset usage
  • Extend governance across environments where shadow AI thrives

AI Activity You Can’t See Is a Risk You Can’t Control.

BigID gives you the visibility, context, and enforcement to uncover shadow AI and reduce risk — before it spreads.

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