BeeSafe AI

Financial services, telcos, and government agencies face trust-based scams, a problem the company puts at over $12 billion, including pig butchering, romance scams, investment fraud, impersonation, and phishing. These scams build trust with victims off-platform and across multiple channels, so any single platform only sees part of the picture. Because victims willingly authorize the transactions, traditional fraud detection systems are bypassed. Today, organizations mostly learn about these scams only after victims report them, once funds have already been laundered, which triggers costly reactive investigations and potential reimbursements.

BeeSafe AI runs Anti-Scam Agents that directly engage with fraudsters in conversation, intercepting scams from the first message through to the wire transfer stage. By interacting with scammers, the agents identify the mule accounts and underlying infrastructure used to move stolen funds, while also wasting the fraudsters' time and resources. The company says this produces cross-sector fraud intelligence that connects fraudster infrastructure across channels and campaigns, evidence-backed from direct interactions with adversaries, and delivered in real time so active scam campaigns can be identified before more victims are harmed. This intelligence is positioned to serve financial services and crypto firms detecting mule accounts and authorized push payment fraud, telcos shutting down scammer infrastructure, and government agencies disrupting cybercriminal operations.