AI resilience

AI resilience resources and information

AI resilience is the capacity of an organization to anticipate, withstand, respond to and adapt to disruption or harm involving artificial intelligence – whether caused by system failure, unreliable outputs, malicious manipulation, misuse, supplier dependency or wider systemic effects – while maintaining critical outcomes and recovering safely within acceptable limits.

AI resilience encompasses both:
– The resilience of AI systems themselves; and
– The resilience of the organization when AI systems become unavailable, degraded, unreliable or unsafe.

Organizational capabilities supporting AI resilience include effective governance and human oversight, understanding operational dependencies, contingency arrangements, exercising, recovery, learning and adaptation.

AI tokens concept

AI has huge potential around security. That potential goes both ways, with attackers using AI to improve their ability to exploit vulnerabilities and defenders responding faster to threats. But effectiveness can be expensive. Eric Avery looks at how to understand and control your defensive AI costs…