This whitepaper explains how Zero Trust security enables organizations to safely scale the enterprise value of AI in increasingly complex environments. Modern AI ecosystems extend across large language models, APIs, and data pipelines running on cloud, on‑premises, and remote infrastructure, creating dynamic and hard‑to‑predict interactions. AI also introduces new identity types such as agents and LLMs, which differ from traditional users by being short‑lived, task‑specific, and highly data‑privileged. These characteristics expand the attack surface and raise new security challenges around access, trust, and data protection. The paper argues that traditional perimeter security is insufficient and promotes an identity‑first Zero Trust approach to control access, limit exposure, and protect

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