BigID for AI Governance

Reduce the Risk of AI by Uncovering Dark Data

Automatically find and classify your most sensitive, critical, and high-priority data - wherever it lives.

BigID makes it easy to identify and label sensitive data that is not safe to use for LLMs. Get unmatched data discovery and classification to find and label sensitive data: whether it's critical, regulated, personal, secrets, passwords, IP, financial, or more. Get more accurate results for unstructured and structured data every time with ML-driven data classification - across your entire data landscape (from on-prem to cloud to everywhere in between).

Advanced Classification for AI

Achieve unparalleled accuracy and scalability in data classification.

Go beyond traditional pattern-matching and regular expression (RegEx) with advanced, trainable ML and NLP-based classification. BigID enables you to classify, label, tag, and flag data by type, regulation, sensitivity, and purpose of use, making it easy to define and only train LLMs on appropriate sets of data that are low risk, relevant, and drive accurate results.

Create custom classifiers that can be tailored specifically to your unique data environment. Test and fine-tune them before deployment to enhance accuracy and mitigate the number of false positives. Label and tag all of your data using a single unified classification ruleset.

Train Your AI Only On Safe-to-Use Data

Define which data sets are safe for training and govern the data that goes into your AI input data sets. BigID can help you find, filter, and govern both structured data and unstructured data, so you know exactly what data you are feeding LLMs.

Automatically flag when there is sensitive or regulated data where there shouldn't be. Leverage policies to manage your data and monitor for potential risks in your data catalog.

Enforce Retention Policies and Workflows

Mitigate risk and train LLMs only on relevant and up-to-date data through policy-driven retention management.

Remove redundant and outdated data to minimize your attack surface and train generative AI on the most up-to-date and accurate data that is safe to use.

Set retention policies and identify what data to delete, when to delete it, and what data to retain. Automate policy management to identify data, apply policies, take action, and audit for compliance.

CUSTOMER STORY

How The University of Maryland Saved $5 Million in Risk Exposure

The University of Maryland used BigID to uncover and reduce over $5M in data risk across 2.5PB of cloud storage. With deep discovery and classification across Google Drive, O365, and Box, they identified and cleaned up thousands of exposed PII records—boosting compliance, minimizing exposure, and improving visibility across their data.

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CUSTOMER STORY

How Telenor Manages Their Data & Builds Customer Trust with BigID

See why Telenor turns to BigID to build customer trust, protect their customer data, and enable compliance... and why they say "Companies who use BigID are showing that they’re taking data seriously.” BigID has helped to streamline and automate their data processes to manage and protect sensitive customer data and achieve compliance with global regulations.

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2026 RESEARCH REPORT

AI Risk, Agentic Access, and the Data Security Gap

AI adoption is nearly universal. AI governance is nearly nonexistent.

The gap between them is where your most sensitive data is being exposed, by shadow AI tools, autonomous agents, and machine identities that operate at scale with no oversight and no controls. Drawing on research from Verizon, IBM, Forrester, McKinsey, and more, The Ungoverned Enterprise lays out the stark reality and provides frameworks and insights to get ahead.

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Take Control of AI Risk & Govern AI With Confidence

Discover, classify, and govern data feeding your AI models, manage model risk, and enforce policies at scale. Build trust, stay compliant, and accelerate responsible AI adoption.

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