SEON, a fast-growing player in real-time fraud prevention and AML compliance, has been named the 2025 Global Enabling Technology Leadership Award winner by Frost & Sullivan. The recognition puts SEON in rare company, highlighting platforms that don’t just keep up with market demands but actively reshape them.
What caught Frost & Sullivan’s attention wasn’t flashy branding or theoretical AI. It was execution—specifically, how SEON tackles three of the biggest pain points in fraud and compliance operations today: fragmented tools, shallow data, and painfully slow deployments.
Why SEON Stood Out
According to Frost & Sullivan, most fraud tools rely on 20 to 30 data signals. SEON operates with more than 900 real-time, first-party signals, spanning device intelligence, behavioral patterns, and network-level insights. That depth matters in a world where fraud rings don’t operate in isolation—they move laterally across accounts, regions, and platforms.
Equally notable is deployment speed. While many enterprise fraud systems take months to roll out, SEON customers typically go live in under 30 days. For teams dealing with evolving attack vectors, that time difference can mean the gap between stopping fraud early—or explaining losses later.
Then there’s consolidation. SEON positions itself as a single command center for fraud prevention and AML compliance, replacing stacks of disconnected point solutions. That unified view allows fraud analysts and compliance teams to work from the same data set, instead of reconciling conflicting signals across multiple tools.
“Technology integration is critical in fraud detection and prevention, yet many organizations struggle with fragmented systems,” said Deepali Sathe, Industry Principal at Frost & Sullivan. “SEON’s approach—owning the full data stack from collection through reporting and deploying AI-driven capabilities in weeks rather than months—directly addresses those challenges.”
From Signals to Actionable Intelligence
Under the hood, SEON’s API-first platform combines AI-powered risk scoring, customizable rules, device fingerprinting, and AML screening into a single workflow. One standout capability is graph-based cluster detection, which helps identify coordinated fraud rings operating across multiple accounts and geographies—an area where traditional rule-based systems often fall short.
Frost & Sullivan also highlighted SEON’s customer-driven innovation model. Rather than shipping features on fixed roadmaps, SEON’s research teams track emerging fraud tactics while commercial teams capture real customer pain points. The result is rapid prototyping and fast production releases—cluster detection itself grew out of direct customer demand.
“Fraud teams need to move faster than the threats they’re facing,” said Tamas Kadar, SEON’s CEO and co-founder. “When fraud and AML operate from the same platform with the same data, teams can respond in hours instead of quarters.”
Why This Matters Now
The fraud landscape is evolving faster than regulatory frameworks and internal tooling. AI-powered attacks, synthetic identities, and cross-border fraud rings are pushing legacy systems to their limits. Platforms that unify fraud prevention and AML—without long implementation cycles—are becoming less of a nice-to-have and more of a survival requirement.
SEON’s recognition signals a broader industry shift: away from siloed compliance stacks and toward real-time, AI-led risk intelligence that scales globally. For organizations juggling growth, regulation, and increasingly sophisticated fraud, that shift can directly impact revenue protection and customer trust.
SEON operates globally from Austin, London, Budapest, and Singapore, serving thousands of companies worldwide. The full Frost & Sullivan report detailing the award is available through the firm.
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