Insights from Vyntra CEO Joel Winteregg on the industrialization of fraud, instant payments, and the future of financial crime prevention
Fraud has stopped being an isolated technical problem and become a systemic, board-level risk. That’s the central message from Vyntra CEO Joel Winteregg in a recent interview with Securities.io, where he unpacked how financial crime has evolved and what it will take for financial institutions to keep up.
Winteregg brings nearly two decades of experience to the conversation, having spent 18+ years building NetGuardians into a leader in AI-driven fraud prevention before leading Intix. He now leads Vyntra, formed through the 2025 union of the two companies, which today serves more than 130 financial institutions across 60+ countries. Here are the key takeaways from the interview.
Fraud has become industrialized
According to Winteregg, fraud is no longer a series of isolated incidents: it’s organized, repeatable, and run with the coordination of a legitimate business. Fraudsters test, refine, and share successful tactics at scale. AI hasn’t created this shift, but it has turbocharged it, enabling faster targeting, more convincing communication, and greater personalization.
Authorized fraud is exposing the limits of traditional defenses
A growing share of fraud today involves victims being manipulated into authorizing their own payments — meaning the transaction looks completely legitimate from a systems perspective. Winteregg points to UK Finance’s Annual Fraud Report, which found authorized push payment (APP) fraud losses rose 19% in 2025 to £576.4 million across nearly 250,000 cases. The fix, he argues, isn’t more transaction-level checks — it’s understanding context and intent through behavioral insight and real-time analysis. Vyntra’s Real-Time Payments Fraud solution is built around exactly this shift.
Instant payments leave no room for delay
With instant payment rails accelerating globally and regulation like the EU’s Instant Payments Regulation pushing adoption further: the window to catch fraud has compressed to seconds. Winteregg argues institutions must move from post-event investigation to in-flow prevention: stopping fraud before settlement, not after. Vyntra’s Transaction Observability platform gives institutions this real-time, full-lifecycle visibility.
Behavior is the clearest signal
Static, rule-based systems struggle as fraud evolves. Winteregg describes how modern behavioral detection combines unsupervised learning (catching anomalies without predefined patterns), supervised learning (sharpening detection from known fraud), and active learning (improving continuously from real outcomes) — even when a transaction looks legitimate on paper. This approach underpins Vyntra’s Payment Fraud Prevention solution.
Collaboration between institutions is becoming essential
Fraud doesn’t respect institutional boundaries, and Winteregg sees shared intelligence models — from consortium approaches to federated, privacy-preserving designs — becoming critical. In Vyntra’s experience, institutions sharing intelligence within a trusted, GDPR-compliant network see detection rates improve by around 20%. Learn more about Vyntra’s Community Scoring & Intelligence solution.
Cutting false positives without adding risk
False positives are often a symptom of limited context, not overcaution. Winteregg notes that across the industry, institutions deploying behavioral AI have reported false-positive reductions of 60–90% compared to legacy rule-based controls — reducing friction for legitimate customers while maintaining strong protection.
Insider threats deserve more attention
Internal fraud is frequently overlooked relative to external attacks, yet banking and financial services report more occupational fraud cases than any other industry, with a median loss of $120,000 per case and a 12-month median detection time. Winteregg emphasizes proportionate, behavior-based monitoring over blanket surveillance — the same principles Vyntra applies in its Internal Fraud Prevention solution.
What’s next: automation with human judgment
Looking five years ahead, Winteregg expects fraud prevention to become far more automated and predictive — but not fully autonomous. Human judgment will remain essential for ambiguous cases and for scams built on social engineering, which automation alone can’t fully read. As regulation like the UK’s PSR reimbursement regime and the EU’s PSD3 raises the bar, the institutions that combine automation with the right human oversight will be the ones that stay ahead.
Read the full interview on Securities.io, or explore how Vyntra helps institutions see every transaction and understand its risk.
