Crime script analysis (CSA) is a technique that breaks down cyber attacks into a sequence of actions, decisions, and situational requirements, making attack narratives accessible to non-technical audiences. Using BEC as an example, the analysis shows that AI can automate time-consuming preparatory steps (such as target identification and social engineering message generation), allowing attackers to scale attacks from high-value few to low-value many. The CSA narrative identifies key intervention points, including seeding AI with fake honeypot organizations to disrupt reconnaissance, detecting malicious AI prompts, blocking delivery mechanisms via email service providers, and increasing victim awareness and procedural controls. CSA does not replace frameworks like MITRE ATT&CK but complements them by providing a human-readable narrative that aids understanding and defense strategy formulation.

The impact described is the potential industrialization and scaling of business email compromise attacks through AI automation, increasing the volume of attacks against a broader range of targets, including smaller organizations previously less targeted. This scaling could increase financial losses and operational disruption. However, the analysis also identifies multiple intervention points where defenses can disrupt or detect the attack, potentially limiting impact if effectively implemented.

No official patch or fix applies as this is an attack methodology analysis rather than a software vulnerability. Mitigation recommendations include deploying honeypot organizations to mislead AI reconnaissance, monitoring for suspicious AI-generated social engineering messages, enforcing rate-limiting and reputation-based blocking on email sending to disrupt delivery, and increasing user awareness and procedural controls such as verifying payment requests and implementing payment delays. These targeted mitigations align with the narrative's identified choke points and do not contradict any vendor advisory.