resilience
What It Means
Resilience is your AI system's ability to keep working when something goes wrong and bounce back quickly from problems. It means your AI can handle unexpected situations, continue operating even when parts fail, and return to normal function without lengthy downtime or permanent damage.
Why Chief AI Officers Care
Resilient AI systems directly protect revenue and reputation by preventing costly outages that could halt operations or damage customer trust. They also reduce the need for expensive emergency interventions and help meet regulatory requirements for system availability and risk management. Poor resilience can turn minor incidents into major business disasters.
Real-World Example
A bank's AI fraud detection system encounters a data center outage during Black Friday shopping. A resilient system would automatically switch to backup infrastructure, continue processing transactions using cached data and alternative models, and seamlessly restore full functionality once the primary system comes back online - all without customers noticing any service interruption.
Common Confusion
People often confuse resilience with just having backups or redundancy, but true resilience is about intelligent adaptation and graceful degradation under stress, not just having spare parts. It's also different from robustness - resilient systems expect to fail and plan for recovery, while robust systems try to prevent failure entirely.
Industry-Specific Applications
See how this term applies to healthcare, finance, manufacturing, government, tech, and insurance.
Healthcare: In healthcare AI, resilience ensures clinical decision support systems, diagnostic tools, and patient monitoring platfor...
Finance: In finance, AI resilience ensures trading systems, fraud detection models, and risk management platforms maintain operat...
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Includes:
- 6 industry-specific applications
- Relevant regulations by sector
- Real compliance scenarios
- Implementation guidance
Technical Definitions
NISTNational Institute of Standards and Technology
"The ability to prepare for and adapt to changing conditions and withstand and recover rapidly from disruptions. Resilience includes the ability to withstand and recover from deliberate attacks, accidents, or naturally occurring threats or incidents. The ability of a system to adapt to and recover from adverse conditions."Source: NISTIR_8269_Draft
"<governance> ability to anticipate and adapt to, resist, or quickly recover from a potentially disruptive event, whether natural or man-made; <system> capability of a system to maintain its functions and structure in the face of internal and external change, and to degrade gracefully when this is necessary"Source: ISO/IEC_TS_5723:2022(en)
"ability of a system to recover operational condition quickly following an incident"Source: aime_measurement_2022, citing ISO/IEC 22989
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