Resilience Planning

Resilience planning in AI governance refers to the proactive development of strategies, systems, and backup procedures to ensure AI applications can withstand disruptions, failures, and adverse conditions without compromising critical business functions. This includes identifying vulnerabilities in AI infrastructure, establishing recovery protocols, and designing redundancies that maintain service continuity when systems encounter technical failures, data corruption, or unexpected model degradation. For enterprises, robust resilience planning is essential to minimize downtime, protect against financial losses, and maintain stakeholder trust when AI systems face real-world challenges.

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ResearchUS2026-09-19

ISA Puts Agentic AI in Critical Infrastructure on Policymakers' Agenda

The Internet Security Alliance has briefed policymakers on the risks of deploying agentic AI in critical infrastructure. The briefing calls for regulatory action on autonomous system containment, third-party AI risk, and resilience planning. Critical infrastructure operators should treat this as a leading indicator of forthcoming binding guidance.

critical infrastructure agentic AI Internet Security Alliance CISA third-party risk OT security resilience planning