Fuel Responsible AI

Empower AI. Eliminate blind spots. Manage risk.

Identify and remove personal, regulated, or toxic data from training pipelines
Enrich training sets with clean, compliant, and well-labeled data
Ensure data accuracy, completeness, and integrity to reduce model bias and drift

Uncover shadow AI use, unsanctioned copilots, and unauthorized data access
Map how data flows into and out of AI systems — including third-party tools
Restrict sensitive or high-risk data from being used in generative or predictive models

Surface AI risks tied to data privacy, policy violations, and access misconfigurations
Automate enforcement of AI governance controls across data and model lifecycles
Remediate risk at the source — from retraining models to revoking access

BigID fuels responsible AI by managing the data behind the models:

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.