Using AI signals within malicious email for attack detection and threat hunting

The blog post discusses the use of AI signals in detecting and preventing malicious email attacks, particularly those generated by Generative AI (GenAI) models. It explores the debate over the effectiveness of these AI signals, highlighting that while they are fleeting and often indistinguishable from benign content due to the evolving nature of language models, they can still provide valuable insights for threat hunting and boosting existing detection systems. Despite the challenges of differentiating AI-generated content from human-written text, the blog suggests incorporating AI signals as supplementary indicators in threat detection, pointing out specific structural and formatting quirks typical of AI-generated content. The post also emphasizes the importance of evolving security measures to keep pace with the rapid iterations of attack strategies enabled by AI advancements and introduces Sublime's autonomous detection capabilities designed to adapt to these changes.

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