CISOs are struggling to threat-model AI. Can 15-minute sessions help?
Summary
Threat modeling expert Adam Shostack has developed PHANTOM-B, a new framework designed to quickly identify threats in AI and LLM components of applications. This framework complements existing methods like STRIDE and addresses AI-specific risks such as hallucination and bias, aiming to make threat modeling more accessible and cost-effective for organizations.
IFF Assessment
The article discusses a new, accessible method for threat modeling AI systems, which directly aids defenders in understanding and mitigating risks associated with AI adoption.
Defender Context
As organizations increasingly integrate AI into their operations, CISOs face challenges in effectively threat-modeling these systems using traditional methods. Frameworks like PHANTOM-B offer a structured approach to identifying novel AI-specific threats, such as prompt injection and hallucination, which are crucial for defenders to understand and defend against.