SEON, a fraud prevention and AML compliance platform, has launched a new suite of AI-powered capabilities designed to transform fraud investigations and AML processes.
The company, often described as a command centre for real-time risk management, is extending its platform to help teams move from raw data to instant action with greater efficiency.
The launch comes as financial institutions and businesses worldwide face mounting pressure from increasingly complex threats, regulatory scrutiny and resource constraints. SEON’s expanded AI suite has been developed in response to the need for faster, more transparent fraud prevention tools that amplify analyst capabilities rather than replace them.
Founded with the mission to simplify fraud detection and compliance, SEON provides organisations with a comprehensive data foundation covering email, phone, device, operating system and IP data. Its platform surfaces critical risk signals at the earliest customer touchpoints, equipping analysts with the intelligence to make accurate, real-time decisions.
The new AI suite introduces several features. Risk signals are now highlighted using colour-coded indicators for quick prioritisation, while similarity ranking links and ranks connected users through shared devices, behaviours and IPs, reducing the need for manual graph-building. AI investigation summaries transform complex digital fingerprints into clear narratives, and explainable AI scoring gives full visibility into how each risk score is generated. In addition, the natural language rule and filter builder allows analysts to describe detection logic in plain English, automatically creating advanced rules without coding. An AML screening agent also helps reduce false positives by prioritising alerts with AI-backed analysis.
These upgrades mean teams can remain within the SEON ecosystem throughout investigations, cutting manual review times by up to 50% and eliminating the need to switch between multiple solutions. Built with input from fraud and compliance professionals worldwide, the tools aim to enhance trust through explainable AI that reveals both the reasoning and outcomes behind each decision.
SEON’s 2025 Digital Fraud Outlook found that 76% of businesses are increasing investments in AI. The firm highlights that the goal is not to replace human judgement but to enhance it, enabling faster responses and more confident decision-making.
SEON co-founder and CEO Tamas Kadar said, “Fraud teams don’t only need more data; they need better context. By capturing risk signals at the earliest customer touchpoints, our AI turns massive data volumes into clear, actionable intelligence. Our first-party data approach gives analysts both accuracy and transparency for confident decision-making.”
Kaizen Gaming risk control team leader Kimon Chalkias said, “Since implementing SEON’s natural language rule and filter builder, we can create sophisticated detection rules in minutes by simply describing what we want in plain English. It’s eliminating the lengthy testing cycles and technical back-and-forth we used to experience, and we expect it will help us adapt to new fraud patterns much faster.”
Datos Insights fraud & AML practice director Chuck Subrt said, “Numerous industries such as financial technology face a critical inflection point where traditional investigation methods may no longer keep pace with sophisticated financial crime. With mounting regulatory pressures, resource constraints, and an increasingly complex threat environment, investigation optimisation has evolved from operational improvement to a strategic necessity. Organizations need AI-driven solutions that can harness and correlate diverse risk signals into actionable intelligence more quickly, amplifying human expertise and enabling investigators to focus on high-value analysis—ultimately driving faster, more informed decisions and better outcomes.”
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