The ASR Model: Artificial Intelligence, Security, and Resilience
Artificial intelligence is often discussed as a technology decision. For leaders, that framing is too narrow. AI changes how organizations make decisions, how operations depend on platforms, how attackers scale, how information can be manipulated, and how quickly a disruption can move from digital systems into business continuity, reputation, and physical operations.
The ASR Model connects three domains that are too often managed separately: Artificial Intelligence, Security, and Resilience. It gives executives, boards, corporate security leaders, and resilience teams a practical way to think about readiness in the AI era.
Artificial Intelligence
AI introduces new capability, but also new dependency. Organizations need to know where AI is being used, what data it touches, which decisions it influences, and which vendors or platforms it depends on. AI that is not visible cannot be governed.
Security
Security in the AI era is not limited to cybersecurity. It includes physical security, cyber-physical systems, data protection, information integrity, personnel risk, vendor risk, and executive accountability. AI can improve security operations, but it can also accelerate attacks and blur the line between real and synthetic information.
Resilience
Resilience is the ability to continue, adapt, and recover when disruption happens. In AI-dependent organizations, resilience means preparing for cyber incidents, platform outages, model failures, misinformation, supplier issues, and leadership confusion under pressure.
The leadership question
The most important question is no longer simply, “Are we using AI?” It is, “Can we trust, secure, govern, and continue operating around the AI systems we use?” That is the conversation the ASR Model is designed to support.