<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/4f3b6511b9d44cdeb0744714e1c308f5&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4f3b6511b9d44cdeb0744714e1c308f5-9999aa6869dbd822.gif</thumbnail_url><duration>249.216</duration><title>Lookout, Stop Elderly Internet Fraud Payments</title><description>This Loom explains Lookout, a solution to reduce internet fraud by helping banks and credit unions verify potentially unauthorized payments. The presenters note Americans lost about $21 billion to internet crime last year, with $7 billion lost by people over 60, and argue that banks only ask whether the account holder authorized the payment, which often comes after scammers already time a victim. Lookout scores transactions using payment patterns and NLP from call or message context, then routes high-risk cases for review or verification. It also describes an agent call system using Twilio and 11 Labs, plus a process for flagging and sharing scam numbers with institutions and score-based referral lists.</description></oembed>