Telegram seller. 50/50 split. 3-hour handover.
Forged docs passed inspection. The company they belonged to didn't exist. This is fraud-as-a-service in 2026. #Fraud#AI#Account#Telegram#Fincrime
32% of Transaction Monitoring teams haven't deployed AI yet.
The ones who have are mostly putting it in detection, where generic AI isn't enough.
Poll data from 100+ TM, AML, and fraud practitioners:
#Transactions#AML#KYB#Payments#AI
Watch the AI Adoption Done Right in Transaction Monitoring webinar here: https://t.co/rjdCdsSEHR
Lucie and Kathy discuss where AI actually earns its place in transaction monitoring, and where it's just noise.
More crime caught. Fewer false positives.
Any vendor promising both should show their work.
Recall, precision, alert volume only mean something together. One impressive number with no context is half the story. What aren't they showing you? π
90-day fraud investigation? Fraudsters have already hit you 3 more times. That's the math we brought to #LendTech London earlier this month.
β Nearly 1 in 10 lending documents shows fraud signals β 80% of serial fraud attacks unfold in under 25 days.
Fraud in lending became an industry of its own.
3 trends from @rehakmar FTT Lending interview:
β Criminals are now professionals.
β Automated exploitation at scale.
β Fraud markets selling forged documents and onboarded accounts. Watch the full interview: https://t.co/cYjU8omyoe
"It's like a doorbell camera. You have to give us the document to open the door." That's how @eBay's Kiratbir Khurana described Resistant AI during our "Marketplace Fraud Blind Spot" webinar. Documents are the entry point to any marketplace. If you don't check them properly, fraud is already inside. β‘οΈ Access the full deep-dive here: https://t.co/99wiTqaja2
Most AI in transaction monitoring treats symptoms, not the illness.
Kathy Gormley and Lucie Novotna break down where AI actually moves the needle in fraud and AML, and where companies are wasting their investments.
β‘οΈ Register here: https://t.co/h1JJr19BeF
AI-driven fraud in production, what it actually looks like, and what it takes to detect it. That's what Nico Martinez walked through at the "Tech Spotlight: AI session" at @FintechMeetup in Las Vegas last week.
The interest in this problem is real. Thanks to everyone who joined us!
#fintech #fincrime #fraud #genai #resistantai
Document tampering: 1 in 5 β 1 in 4 β 1 in 3.
The barrier to entry has collapsed. Average cost to commit document fraud today: $28.29.
Anyone with intent can now do what used to require specialist tools and a criminal networks.
Nico Martinez and Kiratbir Khurana from @eBay break it down here π https://t.co/MDeORqLa5J
#Fraud #Compliance #GenAI #FinCrime #KYB #KYC
200% more fraud detected. 80% fewer false positives. 50% fewer alerts.
These are results from our first joint deployment with @Experian.
Together we make fraud visible before money leaves the account. Read more about Transaction Forensics here: https://t.co/8v9ZS54tX3
Last call: Resistant AI + @eBay webinar is tomorrow.
Why document fraud hits marketplaces harder than any other industry and what actually works at scale.
Can't make it live? Register anyway and we'll send the recording. Register here: https://t.co/yQ9f9PrJVi
Most companies using AI in transaction monitoring and AML are getting it only half right. Heavy investment. Marginal gains.
The problem isn't the AI. It's treating all AI as equal.
π Join us on May 19 for a live webinar to learn what's actually working. Register here: https://t.co/16etaWfynB
Gut feel isn't a fraud strategy.
Most document fraud is invisible to the naked eye.
Resistant Documents checks every submission 500+ ways (including GenAI fakes).
3Γ more fraud detected. 90% fewer manual reviews. 5Γ faster.
Book a demo here: https://t.co/cYYXiIM9xF