BigID, a leading innovator in data security, privacy, compliance, and AI governance, has introduced Data Labeling for AI a powerful new feature designed to help enterprises classify and control which data can be used in generative AI models, copilots, and agentic AI systems. This advancement empowers security and governance teams to apply usage-based labels that dictate how data flows into AI environments, significantly reducing the risks of data misuse, leakage, or policy breaches.
As enterprises increasingly integrate AI into business operations, security teams face a pressing challenge: determining whether specific data is suitable for AI applications. Data Labeling for AI offers a scalable, policy-driven approach to classify and tag data for AI usage. Organizations can leverage pre-defined labels such as “AI-approved,” “restricted,” or “prohibited” or design custom labels tailored to their internal risk assessments and compliance obligations.
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The capability supports both structured and unstructured data across cloud platforms, SaaS applications, and collaboration tools. By enforcing policies at the earliest stages of the data pipeline before information enters AI models BigID enables businesses to transform visibility into actionable control. The feature integrates deep classification, automated policy enforcement, and remediation workflows to ensure compliance and protect sensitive assets.
Key Benefits of BigID’s Data Labeling for AI:
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Automatically classify data as safe, restricted, or prohibited for AI use
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Customize label frameworks to meet internal governance and regulatory demands
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Prevent sensitive or high-risk information from entering LLMs, copilots, and RAG workflows
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Apply usage-based labeling consistently across structured and unstructured datasets
“Security teams need a way to control what data gets used in AI before it becomes a problem,” said Dimitri Sirota, CEO and Co-Founder at BigID. “With Safe-for-AI Labeling, organizations can apply the right labels, enforce the right policies, and take the right actions to keep their data – and their AI – under control.”
With Data Labeling for AI, BigID reinforces its position as a trusted partner for enterprises navigating the complexities of AI adoption, ensuring that innovation is balanced with robust data governance and security.