Author: Vyntra

Vyntra Sibos Miami 2026

SIBOS Miami 2026

Sibos brings together industry leaders to shape digital finance for AI-driven economies — join Vyntra at booth L026.

vyntra-transaction-intelligence-convergence

The market is catching up to Transaction Intelligence

For years, banks and payment providers have tackled fraud prevention and compliance through separate tools and teams, leading to fragmented controls and delayed investigations. However, the market is shifting towards a more integrated approach. Gartner’s 2026 Hype Cycle highlights the need for convergence in transaction observability, fraud prevention, and real-time payment management. Vyntra was created to address this challenge, offering solutions that connect these capabilities around a shared understanding of transactions. Discover how Vyntra can help financial institutions move from disconnected monitoring to connected intelligence, enabling proactive risk management and improved operational efficiency. Explore Vyntra’s innovative solutions today!

Vyntra Consolidated View

Investigation and Compliance: What PSD3 means for German fraud teams

A specific imbalance has emerged for fraud and compliance teams at German banks. Detection now runs in real time, on most instant rails, for most institutions. While investigation still runs at the older, slower pace — the work of reconstructing what happened, and proving to a regulator that the right check ran on the right data, takes considerably longer than […]

AI Fraud Signals

7 AI Profiling Signals for Payment Fraud Checks

Real-time payments remove the buffer that legacy fraud controls relied on. Transactions clear in seconds, and once funds move, they’re gone. For fraud and risk leaders at banks, the question isn’t whether to adopt AI profiling: it’s which AI profiling capabilities actually perform at the speed instant payments demand. Vyntra Global helps institutions evaluate and […]

AI fraud detection

Beyond the Black Box: How German Banks Explain Fraud Detected with AI

AI is becoming central to fraud detection and AML monitoring. For German banks, the real question isn’t whether AI can identify suspicious activity, it’s whether compliance teams can understand, challenge and evidence the decisions it makes. Why the black-box problem matters Part of why that question matters are how fraud actually behaves. Fraudsters rarely stick to the patterns […]