AI incidents need a new playbook. Here’s how to build one
Summary
A significant percentage of organizations have AI systems integrated into core business operations, yet a large majority lack effective governance for this access. Existing incident response playbooks are often inadequate for AI-specific incidents, failing to address the unique challenges posed by both model-originated failures (like degradation and hallucinations) and externally induced failures (like adversarial attacks). Organizations need to develop new, AI-focused incident response strategies that account for these distinct failure types.
IFF Assessment
The article highlights critical gaps in current incident response capabilities concerning AI, indicating a vulnerability for organizations and a potential advantage for attackers.
Defender Context
As AI becomes more pervasive in business systems, defenders must recognize that traditional incident response playbooks are insufficient. Organizations need to proactively develop and test new strategies specifically tailored for AI-related incidents, differentiating between failures originating from the AI model itself and those caused by external manipulation. This requires a better understanding of AI system inventories, potential failure modes, and the authority to manage AI systems during an incident.