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.
Dr Peter Vincent explores three developments expected to define 2027: a widening gap between ambitious AI predictions and operational reality; consolidation in the rapidly expanding AI security market; and the emergence of AI control and accountability as major boardroom concerns.
Abnormal AI has released its 2026 State of Behavioral Security Report, revealing that 46% of security professionals say they are not at all effective at establishing what normal behaviour looks like for AI agents.
A new report by iluminr, The State of Resilience in Agentic AI Adoption, found that only 16% of participants in a simulated AI vendor failure were confident that the bank in the scenario could maintain minimum service levels within its impact tolerances.
New global research for Illumio has found that 70% of organizations delegate human decisions to AI, but 49% cannot fully audit what it does.
ServiceNow says that ungoverned agentic AI exposure is compounding inside the enterprise, based on new global research of senior security leaders.
The term ‘AI kill-switch’ suggests there is a simple answer to the risks posed by autonomous AI agents, but the reality is that it gives organizational leaders a false sense of security.
The Monetary Authority of Singapore (MAS) has issued a new guidance document for regulated financial institutions (FIs) in the country.
Dataiku has released results from a new study, highlighting measures that CIOs are considering for AI resilience.
The instinct among leadership teams has been to move fast on policy. Having documented policies on AI implementation and usage is great, however, it fails to address the main problem associated with the technology: too many organizations simply don’t know what AI is running, right now, across the organization.
New research from Veeam Software has highlighted that EMEA enterprises are struggling with unmanaged AI,