Google Cloud's recent guidance on secure agentic AI in manufacturing emphasizes continuous oversight, context, and human control. These same principles are increasingly important for secure OT remote access, where AI can help teams detect and respond to risk during active sessions.
NIST SP 800-82r4 expands Zero Trust guidance for OT, covering privileged access management, strong identity, continuous monitoring, legacy-system constraints, ZTNA, and implementation that preserves availability and safety.
Shared vendor logins feel efficient, but they can obscure accountability and slow recovery when something goes wrong. This blog explores the operational risks of shared accounts and offers practical tips for how to control remote third-party access without disrupting production.
AI agents may already be operating in OT environments through trusted users, devices, and authenticated sessions. This “shadow AI access” can create operational and security risk, but strong identity and access controls, least privilege, and zero trust can help reduce its impact.
AI-enabled cyber threats are evolving faster than critical infrastructure can safely adapt. Following OpenAI’s recent call for collective cyber defense, we examine the implications for OT security and explore how strong identity and access controls can protect legacy and hard-to-patch systems without disrupting essential operations.