The Cloudcast Using AI Reasoning to Prevent AI Scams
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Oct 8, 2025 Alan Lefort, CEO and co-founder of StrongestLayer, dives into the evolving landscape of phishing security. He reveals how traditional defenses falter against AI-powered attacks, which utilize perfect mimicry and personalized tactics. Alan discusses the multimodal approach to phishing, likening it to marketing strategies, making scams increasingly hard to detect. He introduces the TRACE architecture, emphasizing the need for LLM reasoning at the core of detection systems, moving from reactive patterns to proactive threat identification.
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AI Makes Phishing Indistinguishable From Legitimate Messages
- AI enables perfect mimicry and drives personalization, making traditional telltale phishing cues obsolete.
- Attackers now produce expert-quality, highly personalized scams at massive scale and low cost.
AI Cuts Cost And Raises Click Rates
- Studies show AI-crafted phishing drastically raises click rates and reduces attacker cost.
- Public profile data enables hyper-personalized attacks, turning net phishing into scalable spear phishing.
Multi-Language, Multi-Trick BEC Example
- Alan describes a real customer attack combining languages, lookalike domains, and mixed content to bypass rules.
- The email passed authentication but the combined signals revealed a sophisticated BEC attempt.