"We've entered an era where generative tools don't just accelerate attacks - they change the economics of fraud itself. What once required technical sophistication, organized infrastructure, or specialized social-engineering skill can now be automated, personalized, and deployed at a speed and volume that most institutions' defenses simply cannot absorb. This shift is not theoretical. Financial institutions and security teams across every sector are watching the same pattern unfold. Attacks are becoming more adaptive, more human-like, and far more difficult to detect early."
"The most dangerous outcome of generative AI isn't deepfake voice cloning or hyper-realistic phishing templates - though both are now trivial to produce. It's that attackers can dynamically adapt these artifacts on the fly, shaping them to the victim's behaviors, institution, tone, and vulnerabilities. AI turns what used to be guesswork into precision-guided social engineering. This is not a linear step forward. This is a rewiring of the attack surface."
Generative AI enables attackers to automate, personalize, and scale fraud, converting guesswork into precision-guided social engineering. Attackers can generate individualized phishing narratives from a target's digital footprint, run automated fraud workflows that probe defenses continuously, and script rapidly mutating malware variants. AI can mimic legitimate login patterns and session behavior to evade rules-based controls. Because AI is inexpensive, persistent, and infinitely scalable, adversaries can weaponize contextual signals and adapt attacks in real time. Institutions that rely on static or rules-based defenses face escalating detection failures. Defenses must learn and adapt in real time to remain effective.
Read at Securitymagazine
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