Scammers aren’t shy about putting new technology to use. And as I shared today at the #GlobalAntiScamSummit, staying a step ahead of bad actors means working together to pair cutting-edge defenses with joint legal enforcement designed to dismantle fraud networks. Thank you to Global Anti-Scam Alliance (GASA), for inviting me to share more on the trends we’re seeing—and what we need to do to fight back.
Tom Walker
1w
I felt there was a genuine vibe shift this year at GASA. Education matters. Prevention matters. Disruption matters. But without enforcement--without the deterrence that comes from fear of consequences--none of those things reduce fraud loss. If no one is coming for the bad guys, they can just try and try again. If we have tools that can stop 80% of scams before they happen, the bad guys just scale and increase attempts 500%. Once we have as many Federal prosecutors at GASA as anti-fraud product vendors, we will have solved America's scam epidemic. How do we get from here to there? We have to acknowledge we live in a democracy, the government works for us, we pay for it, scams are a political problem, and we need to politically engage accordingly.
Good point. Scam networks move quickly across platforms and channels, so no single company can address the problem alone. Sharing signals and coordinating enforcement can make a real difference in disrupting them earlier.
Very insightful sir. This is most important part of our technology.
Metacognición — Extrematoria https://share.google/6Xh9IC5kArg03dRhH Doing science with CONSCIOUSNESS
Rob Leathern
1w
Thanks for speaking to the group, Kent - your point about bringing the technology and legal/policy threads together is 100% right.
Incredible presentation and excited to contribute to GSE
Hello Kent, Pleasure to meet you in person today and Thank you for the thoughtful dialogue ; as always, your speech was impressive with facts and focus on the use of AI !
A key takeaway for me is the shift from reactive enforcement to proactive, intelligence-led prevention. In Trust & Safety operations, we often see how policy interpretation, human judgment and quality challenges can impact outcomes at scale. AI and automation can help move us beyond identifying issues after the fact toward detecting patterns, emerging risks and potential harm earlier. The real opportunity, in my view, is combining AI-driven detection with human expertise, strong quality frameworks and cross-industry threat intelligence. Building scalable and responsible safety systems will be critical as scams continue to evolve with AI.