Resistant AI

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Resistant AI

Resistant AI

@ResistantAI

Verify all documents for fraud with AI

Prague, London, New York Entrou em Ekim 2019
53 Seguindo184 Seguidores
Resistant AI
Resistant AI@ResistantAI·
£450M lost to APP fraud in the UK in 2024. Preventing a single fraudulent payment can still disrupt multiple legitimate customers. That tradeoff shows up in false positives, alert volume, and customer friction. In our session with @Experian, we break down how combining their market-leading data + Resistant AI transaction forensics can: → Reduce false positives by 80% → Cut alerts by 50% → Catch 200% more fraud Watch the full session here: lnkd.in/d_9VaDX6
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Resistant AI
Resistant AI@ResistantAI·
You can buy fake pay stubs for as low as $3/month. We tracked 150+ generators. The top 20 had 10M+ visits in 2025. These platforms even publish guides on creating fake pay stubs and promote their use for getting loans and rentals. And the financial crimes these documents enable are well-documented: Loan & credit fraud. KYC & onboarding abuse. Rental & leasing fraud. Insurance fraud, and many more. Read the full breakdown here: lnkd.in/dSZTVq9y
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Resistant AI
Resistant AI@ResistantAI·
23% of high-risk documents are now linked to serial fraud. That’s a 700% increase from last year. ⚠️ One well-made fake document can be turned into a template and used by millions. We call this “serial fraud,” scaling what works until it’s no longer an isolated incident but an industrial process. Fraudsters find what works, productize it, and scale it across campaigns. Feb 18 webinar: We’ll break down serial fraud, covering what we learned from analyzing 170 million documents across 135 countries. Register here: t.co/z7lYo8RChj
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Resistant AI
Resistant AI@ResistantAI·
Stopping more fraud doesn’t automatically mean you’re winning. If preventing one APP fraud case means disrupting genuine customers, you haven’t solved the problem. You’ve just shifted the damage elsewhere. Join the Feb 24 Webinar with @Experian @Experian_UK “How to move the dial on APP fraud" to learn: → How the industry performs against APP fraud in the UK → Why efficacy is the true measure of success and a bottleneck → How combining Resistant AI models with Experian data can finally move the dial 👉 Register here: resistant.ai/news/how-to-mo…
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Resistant AI
Resistant AI@ResistantAI·
The FBI seized Template Farmer’s domains and $6.4M in crypto. Headlines called it a major win. Within days, the fraudulent "VerifTools" was back under new domains, with traffic recovering fast. That’s the problem with infrastructure takedowns: they disrupt visibility, not viability. We broke down what actually happened and why it keeps happening here: resistant.ai/blog/veriftools
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Resistant AI
Resistant AI@ResistantAI·
Live Document Fraud 2026 Webinar Join Joe Lemonnier & Jan Syrinek to see the data firsthand and learn how to: → Distinguish professional networks from amateurs in your data → What industrial-scale fraud looks like (clusters, campaigns, & bursts) → Which document types are targeted in your specific sector → How to build risk policies that match 2026 threats, including the 2026 Roadmap with threat predictions Register for the Document Fraud 2026 Live Webinar here: t.co/R7L0ROQd8J
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Resistant AI
Resistant AI@ResistantAI·
We analyzed 170M+ documents across 135 countries. The data reveals a "Sophistication Gap" that breaks most controls: the difference between catching a crude amateur edit and stopping an industrial-scale professional attack. On Jan 28, we reveal the full insights at the Live Document Fraud 2026 Webinar. Check the thread below👇
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Resistant AI
Resistant AI@ResistantAI·
Document fraud used to require skill. Now it takes just one prompt. Gemini Nano Banana makes fraud a 20-second job. ❌ No Photoshop. ❌ No technical skills. ✅ And it looks perfectly real. Why this matters: Document fraud didn’t suddenly become easy. • Digital editing removed the need for specialist skills. • Template farms made large-scale forgery trivial. • Early GenAI could create simple receipts. What changed: New models can generate complex documents (bank statements, employment letters) without the text glitches or formatting errors that used to give fakes away. They don’t just replace text. They recreate structure and layout so it looks “right.” Why traditional checks fail: Human reviewers see a normal document. OCR tools see readable text. The problem? Fraudsters fill these AI-generated documents with real stolen data. So even when systems cross-check the fields, everything matches. The data is real, but the document is fake. The Reality: Millions of AI users can now generate near-perfect documents instantly. When fraud becomes this easy, detection can’t rely on appearance anymore. It needs to understand how the document was created. Stopping AI-generated fraud now requires AI-driven detection.
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Resistant AI
Resistant AI@ResistantAI·
This was just a warm-up. Stay tuned for our full Threat Intel 2025 Report coming in January 2026. We'll cover template farms, AI-generated docs, and new fraud trends. Follow @ResistantAI so you don't miss it.
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Resistant AI
Resistant AI@ResistantAI·
It's all about the people behind the tech. Empowered 8,000+ analysts to fight crime faster and more effectively. We met you at 50+ international events. Welcomed 35 new crime fighters to our own team.
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Resistant AI
Resistant AI@ResistantAI·
Fraud didn't slow down in 2025. Neither did we. We helped our customers achieve 3x more fraud detections and 5x analyst productivity this year. With >90% fewer manual checks needed. Here is our 2025 Year in Review for Resistant AI 👇
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Resistant AI retweetou
Untold Stories Conference
Untold Stories Conference@byUntoldStories·
Meet Martin Rehak, CEO & Founder of @ResistantAI and serial entrepreneur 👋 Resistant AI applies machine learning to protect financial systems from adversarial attacks, manipulation and misuse. Learn from Martin's untold stories this November 👉 bit.ly/USCB2022
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