Managing OT remote access with Zero Trust and AI detection

According to Darktrace, the piece argues that managing OT remote access requires a two-pronged approach: precise access controls combined with real-time AI-driven detection, not just visibility. It stresses that Zero Trust access controls—identity-based, just-in-time permissions—should govern which vendors and remote users can interact with which devices and for how long, extending across the Purdue Model.

Complementing this, the article describes continuous, AI-driven behavioural detection that learns what is normal across every device, protocol, and user to spot misconfigurations, credential misuse, or lateral movement as it happens. It highlights granular enforcement features such as role-based access and automated session oversight, which can trigger alerts or controls like session isolation while preserving uptime.

The post also notes the importance of full visibility across IT and OT layers and scalable, passive monitoring that works even for legacy or air‑gapped environments without relying on signatures or intrusive scans. Published on 20 November 2025, the piece presents a vision of complete security without compromising operational agility.