Curate and cleanse training data for AI models
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Identify and remove personal, regulated, or toxic data from training pipelines
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Enrich training sets with clean, compliant, and well-labeled data
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Ensure data accuracy, completeness, and integrity to reduce model bias and drift
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Uncover shadow AI use, unsanctioned copilots, and unauthorized data access
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Map how data flows into and out of AI systems — including third-party tools
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Restrict sensitive or high-risk data from being used in generative or predictive models
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Surface AI risks tied to data privacy, policy violations, and access misconfigurations
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Automate enforcement of AI governance controls across data and model lifecycles
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Remediate risk at the source — from retraining models to revoking access
AI Data Discovery and Classification
Identify and catalog sensitive, regulated, and critical data powering your AI models – before it becomes a liability.
Training Data Curation and Cleansing
Ensure your AI is built on trusted, compliant, and high-quality data – free from bias, secrets, regulated information, and toxic inputs.
Minimize Attack Surface for AI
Delete, quarantine, or move unnecessary and overexposed data – shrinking the risk footprint your AI can inherit.
AI Risk Detection and Remediation:
Automatically uncover where training data, copilots, chatbots, or GenAI services introduce privacy, security, or compliance risks – and fix issues fast.
Microsoft Copilot and GenAI Risk Mitigation
Find and secure sensitive data before it’s accidentally surfaced by copilots and AI assistants – protecting against leaks, hallucinations, and unauthorized disclosures.
Continuous Monitoring for AI Compliance
Stay aligned with the EU AI Act, emerging AI regulations, GDPR, CPRA, and internal governance policies with real-time visibility and alerts.
Unified Data and AI Governance
Bridge the gap between data security and AI governance with a single platform built to manage both seamlessly.
Build AI You Can Trust.
Discover, curate, and protect the data behind your AI—with BigID.