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SCAM DETECTORS SEASON TWO 🎙️ Scam Detectors is back with a very special LIVE episode, filmed at our Customer Forum in September. Our host Jane Wakefield is joined by Steve Goddard, Becky Holmes and Suzanne Lynch for an insightful and energetic conversation on: What keeps them up at night? 😰 The difference between scams and fraud 🔍 How we can better equip ourselves in the fight against fraud 🛡️ Their top tips for consumers and financial institutions 💡 Tune in today wherever you get your podcasts: https://lnkd.in/emJbN_Hz

Romance scammers often follow patterns, but they're constantly evolving their approach 📱 🚩 Love-bombing (excessive affection within days) 🚩 Photo inconsistencies (reverse image searches reveal stock photos) 🚩 Communication patterns (avoids phone calls, only texts/emails) 🚩 Geographic storytelling (always traveling for work/military deployment) 🚩 Financial emergencies (sudden crises requiring immediate wire transfers) When you see payment patterns matching this timeline, you're not just seeing suspicious transactions, you're seeing the final stage of a months-long social engineering campaign. Your customers aren't gullible. They're victims of sophisticated psychological manipulation that your transaction monitoring needs to understand.

Remember when ChatGPT reached 1 million users in 5 days? That felt impossibly fast. 📈 Now the recently released ChatGPT-5 can create entire web applications in under 5 seconds. Sam Altman demonstrated building a web app in less than 5 minutes during the launch. For legitimate users: Amazing productivity boost For scammers: Professional phishing sites, fake company pages, convincing documents - all generated instantly. Criminals are always at the forefront of utilizing new technology, constantly looking to exploit before the industry can adapt. The time between AI advancement and criminal exploitation is shrinking faster than the technology development cycle itself. Technology needs to be used to close that gap, not just react to threats, but anticipate them.

The scariest identity theft isn't someone pretending to be you. It's someone creating a new person using pieces of you👤 Synthetic identity fraud combines real information from multiple victims to create entirely fake identities. Your date of birth + someone else's Social Security number + another person's address = new 'person' that doesn't exist but can open accounts. When someone steals your identity, you notice. When someone creates a synthetic identity using pieces of you, you might never know you were even a victim. Fighting invisible enemies requires more than traditional detection. How is your organization adapting to threats that technically don't exist?

What does a global bank look for in AML technology? The checklist: ✅ 🔍 Monitor transactions at scale 📊 Prioritize alerts intelligently ⬇️ Reduce false positives 🔗 Surface unknown threats by finding new data connections ARIC Risk Hub: Check, check, check, and check. Our cloud-based implementation doesn't just tick boxes - it learns what normal looks like for each customer, adapts to new patterns in real-time, and gets smarter with every transaction.