A victim clicks a Facebook ad disguised as breaking news. Hours later, a "financial advisor" calls from a UK number. Then comes the follow-up email with a payment link. Money gone. To most detection systems, these are three unrelated events on three different channels. In reality, they're one fraud chain — and scammers count on us never connecting the dots.

This session shares how new multi-agent AI systems can correlate scam intelligence across SMS, email, social media ads, instant messaging, voice calls, deepfakes, and honeypots into complete, evidence-backed fraud chains. Instead of one model looking at one channel, a team of specialist AI investigators — coordinated by a lead investigator and challenged by a critic agent — builds a shared evidence graph where a shortened URL found in a Telegram group can expose an entire cross-platform campaign.

We'll walk through real investigations: the July 4th / America's 250th Anniversary scam wave (5 tier-1 campaigns, 2,700+ malicious messages, 7 impersonated brands — detected before the fireworks); the "Ferrari Scam Machine," where 6 threat actors ran 40+ campaigns across 5 channels in 15+ countries using a single luxury brand as bait; and a complete ad-to-payment fraud chain reconstructed step by step, including honeypot recordings of the scammers themselves.

Attendees will leave with a practical blueprint for moving from isolated indicators to campaign-level and chain-level intelligence — including how to anticipate scam waves tied to predictable events (elections, tax season, Black Friday) and detect the unpredictable ones (disasters, breaking news) within hours.