AI adoption is accelerating, yet many organizations still struggle to control what data is used in generative AI. Without clear labels or guardrails, sensitive, personal, or regulated data can unintentionally flow into LLMs, copilots, or prompts, creating compliance gaps and security risks. BigID’s AI Data Labeling helps security and governance teams classify and control AI data use at scale by automatically tagging data as approved, restricted, or prohibited based on policy, risk, or sensitivity. This ensures only the right data is allowed into AI systems while preventing inappropriate or high‑risk data from being used.

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