Data security vs. agentic security: where the controls meet

Data Security and Agentic Security are separate buying motions, but they meet at the same control point: sensitive data should not be exposed to people, systems, or agents without reviewable context and policy guardrails.

Data Security focuses on discovery, classification, exposure detection, access analysis, tokenization, protection, and retention governance. Agentic Security focuses on AI and agent governance, secure employee AI use, prompt and output enforcement, model interaction monitoring, and policy-driven guardrails.

Together, the products help teams understand what data matters, where access creates risk, and how agentic workflows should be governed before adoption expands.