SEON, a leading provider of real-time fraud prevention and AML compliance technology, has launched a new suite of AI tools designed to speed up investigations and give analysts clearer visibility into risk.
The company, often described as the command centre for fraud teams, said the launch was driven by growing demand for explainable AI that reduces manual work while ensuring trust in decision-making.
The company said the release comes at a time when fraud and compliance teams are under pressure to process more alerts with fewer resources. SEON’s 2025 Digital Fraud Outlook found that 76% of businesses are increasing AI investments, not to replace human judgement, but to enhance the capabilities of analysts.
Founded to simplify fraud detection and AML screening, SEON provides organisations with a platform built on over 900 real-time, first-party data signals. The system captures behavioural and digital footprint data across devices, emails, IPs and phone numbers, turning raw inputs into actionable intelligence. Its focus on transparency and explainability has set it apart from black-box solutions that obscure how risk scores are calculated.
The newly launched AI suite introduces several capabilities. These include colour-coded risk signals that instantly highlight high, medium or low-risk activity, a similarity ranking feature that automatically links related users through shared behaviours or devices, and AI-generated investigation summaries that explain in plain language why alerts were triggered. An explainable AI scoring function provides a full breakdown of each signal’s contribution, supporting both analyst confidence and regulatory compliance.
Additional tools include a natural language rule and filter builder, allowing analysts to create detection logic by simply describing it in plain English, and an AML screening agent that filters false positives so teams can focus on genuine threats. These functions aim to eliminate lengthy testing cycles and remove the need for specialist coding knowledge.
SEON emphasised that all of these AI-driven insights remain transparent. Rather than operating as a black box, the system shows analysts the reasoning behind each decision. The new suite was developed with input from fraud and compliance professionals worldwide, ensuring it meets real-world investigative needs.
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 and 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 optimization 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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