BigID finds the AI running across your enterprise, sanctioned and shadow, maps the data each system trains on, retrieves, and reaches, and turns your AI policy into controls enforced at the data layer, with audit-ready evidence for the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
Talk to a BigID AI governance specialist about your AI program.
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Most programs begin with one urgent question from a board, a regulator, or an AI steering group. Choose yours to see how BigID answers it.
AI governance works as a loop: know what you run, set the rules, apply them where the data lives, and watch for drift. Each pass leaves behind the inventory, assessments, lineage, and audit trail a regulator asks for.
Every model, agent, and pipeline, and every data source feeding them, before a single policy is written.
Acceptable use, access controls, accountability, and behavioral standards, mapped to the frameworks you answer to.
Guardrails on prompts, least privilege for agents, and clean, compliant data before training, with violations tasked for remediation.
Continuous discovery and assessment as models, data, and regulations change, so posture stays current between audits.
AI inventory and owners, risk assessments, training data lineage, and access and activity trails, ready for regulators, auditors, and your GRC tool.
BigID applies the controls where the data and models live, then feeds the evidence back, so the policy document and the running estate say the same thing.
Multi-tenant SaaS to fully air-gapped, with every capability in every mode. BigID scans in place and never copies or moves your data.
For most companies, data risk is the largest part of AI risk. BigID governs the models and the data underneath them together, so each answer below comes from the running estate.
Models, agents, copilots, vendor AI, AI libraries in code, and MCP servers, sanctioned or shadow, each with an owner and a purpose.
Sensitive and regulated data classified across training sets, vector stores, files, and prompts, with lineage from source to output.
Risk assessments, enforced policy, and audit trails mapped to the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
With AgentIQ, BigID's agentic automation layer, your team can investigate, assess, and enforce AI policy by asking in plain language, with guardrails and BigID's data intelligence underneath.
Reduction in risk exposure across 2.5PB of cloud storage, with 27,000+ PII records found and remediated in Google Drive, O365, and Box.
Read the storyWeighted precision and recall on a 40,000+ record dataset, first among 20 vendors. Classification is what decides which data is safe to train on.
See the resultsFiles, plus 571K+ emails, classified and remediated after an audit finding.
See customer resultsFiles brought under lifecycle policy, with redundant and obsolete data retired before AI can learn from it or surface it.
See customer resultsRuns BigID as its data intelligence and policy control plane across a global financial services estate.
“BigID gives me better visibility into sensitive data, helps prioritize security protections, reduces attack surfaces, strengthens compliance, and increases operational efficiency overall, a strategic pillar of our AI-First Cybersecurity Transformation.”
Also recognized: CRN Security 100 (2025), Cybersecurity Excellence Awards, Top Infosec Innovators 2025, AI Excellence Awards.
Have another question? Add it to the form notes.
The Ungoverned Enterprise: where agentic access has outrun the controls meant to govern it, and which gaps close first.
Get the 2026 research reportYes. You can run a free risk assessment scoped to the data sources you pick and review the findings with a BigID specialist.
The layer that makes the policy true. Your GRC tool records the controls. BigID applies them where the data and models live, with guardrails on prompts, least privilege for agents, and compliance checks before training, then feeds the evidence back to the GRC record.
Yes, and that's usually where the inventory grows fastest. BigID discovers copilots, assistants, vendor AI, AI libraries in code, and MCP servers alongside in-house models, then assesses each against the same framework.
The EU AI Act, NIST AI RMF, and ISO/IEC 42001, alongside GDPR and CCPA. You can build and track your own controls next to them, and BigID reassesses continuously, so a new requirement becomes a new control on an inventory you already have.
Each agent is treated as an identity with an owner. BigID maps it to the data it accesses and the tools it invokes, enforces least privilege by data sensitivity and business context, monitors its activity in real time, and can revoke access automatically.
Yes. The same BigID runs on-prem, in private cloud, and fully air-gapped, with the control plane, audit logs, and AI prompts kept inside your boundary and your own approved models powering BigID's AI.
No. BigID scans data in place, inside your environment, and never copies or moves it. That holds in every deployment, from SaaS to fully air-gapped.
Pricing follows the use cases and environment you start with. Your specialist will walk through options once they understand your scope.
Talk to a BigID AI governance specialist about the models, agents, and data you need to govern.