# Quarterly Fraud Report 2026: Catching Today’s Fraud While Preparing for Tomorrow’s Schemes

Page: https://stenobird.com/podcast/fraudology-podcast-with-karisse-hendrick-1368872/quarterly-fraud-report-2026-catching-today-s-fraud-while-preparing-for-tomorrow-s-schemes
Text version: https://stenobird.com/podcast/fraudology-podcast-with-karisse-hendrick-1368872/quarterly-fraud-report-2026-catching-today-s-fraud-while-preparing-for-tomorrow-s-schemes.md
Podcast: [Fraudology Podcast with Karisse Hendrick](https://stenobird.com/podcast/fraudology-podcast-with-karisse-hendrick-1368872)
Published: 2026-07-23T08:30:00+00:00
Episode link: https://fraudology-podcast.captivate.fm/episode/quarterly-fraud-report-2026-latest-fraud-tactics
Audio file: https://episodes.captivate.fm/episode/eba8f34c-5c05-4ca9-a3fd-9637413d981b.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/fraudology-podcast-with-karisse-hendrick-1368872/episodes/quarterly-fraud-report-2026-catching-today-s-fraud-while-preparing-for-tomorrow-s-schemes
Duration seconds: 2236

## Resource

Welcome back to Fraudology. Every once in a while I come across a report that makes me stop what I was planning to talk about because it's just that important. This is one of those weeks. Matt Vega recently released his quarterly fraud report 2026, and after reading it, I knew we needed to break it down together. Not because it's predicting what might happen next year. Because every attack covered in this report is already happening. One of the biggest themes running through the report is that fraud is simply moving faster than fraud teams are. AI is making sophisticated attacks cheaper, easier to launch, and much harder to detect. Criminals no longer need deep technical skills when they can rent the tools they need through fraud as a service marketplaces. So what does that actually look like? In this episode, I walk through several of the newest fraud tactics already showing up in the wild, including malware hidden behind fake unsubscribe links, banking malware that can piggyback on a customer's trusted device, and session hijacking techniques that make account takeover fraud incredibly difficult to detect using traditional fraud detection models. At first glance, many of these attacks look legitimate. That's exactly the problem. We also talk about why fraud teams can't rely on individual trust signals like device intelligence, IP reputation, or even behavioral analytics by themselves anymore. Criminals have learned how to blend into legitimate customer behavior, which means our approach to fraud detection and fraud prevention has to evolve too. This is where things get interesting. One of my biggest takeaways from Matt's report is that the answer isn't one new tool or one new model. It's layering better fraud intelligence, sharing information across consortium networ…

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/fraudology-podcast-with-karisse-hendrick-1368872/episodes/quarterly-fraud-report-2026-catching-today-s-fraud-while-preparing-for-tomorrow-s-schemes/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/fraudology-podcast-with-karisse-hendrick-1368872/quarterly-fraud-report-2026-catching-today-s-fraud-while-preparing-for-tomorrow-s-schemes.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.