The Monetary Authority of Singapore (MAS) has issued a new guidance document for regulated financial institutions (FIs) in the country.
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.
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,
Reco has released The State of Agent Security 2026, a report that examines the adoption, capabilities, and security oversight of enterprise AI tools.
Larry Marks argues that AI should now be recognised as an operational dependency requiring the same operational resilience planning applied to other important business services.
New research conducted by Harvard Business Review Analytic Services in association with Nexthink, finds that four in ten (42%) survey respondents say their organization’s existing data/technology infrastructure doesn’t support AI monitoring.
Americans for Responsible Innovation (ARI) has released a new report examining the unique vulnerabilities of AI infrastructure to attacks and calling for the US federal government to designate AI as critical infrastructure.
Backed by practical guidance, research, executive education, and operational best practices, the Center will both feed and draw on other CSAI initiatives to turn AI resilience into a recognised operational discipline.
AI accountability is moving from theory to execution, as organizations increasingly recognise the need for robust governance structures and chains of ownership, according to new research from BSI.