Why real-time graph analytics will define fraud management in 2026: Frogo

Kyrylo Topalov, Head of Sales at Frogo, discusses how real-time graph analytics will revolutionise fraud management and proactive threat detection.

Opinion.- As we approach ICE Barcelona 2026, it’s time to evolve the conversation around fraud management. Businesses across igaming, e-commerce, payment services and beyond are facing increasingly sophisticated fraud schemes that exploit the tiniest gaps in processes, user verification or transaction monitoring. The key to staying ahead? Real-time graph analytics.

At Frogo, we believe that fraud prevention should be proactive, intelligent and seamless. Traditional rule-based systems, while useful, often struggle to keep pace with fast-evolving fraud patterns. That’s where real-time graph analytics changes the game. By mapping the relationships between accounts, transactions, devices and behaviours as they happen, businesses can uncover hidden connections that would otherwise go unnoticed. Suddenly, a cluster of seemingly harmless anomalies reveals a coordinated fraud attack – or a single suspicious device exposes multiple fraudulent accounts.

Why does this matter in practice? Consider these scenarios:

Bonus abuse in igaming: Multiple accounts funnelling rewards to a single user can be detected almost instantly through graph-based correlation.

Multi-accounting in e-commerce: Fraudsters attempting to manipulate loyalty programs or returns can be flagged the moment their network patterns emerge.

Payment and transaction fraud: Linking transactions across accounts, devices and locations allows early detection of anomalies before losses occur.

The advantage of real-time graph analytics is its ability to combine speed with context. Frogo’s platform doesn’t just alert teams when a threshold is crossed – it visualises connections, highlights patterns and adapts dynamically to new behaviours. Anti-fraud teams gain actionable insights immediately, rather than piecing together evidence manually over hours or days.

Equally important, businesses can protect their legitimate customers. By focusing only on anomalous patterns and reducing false positives, companies preserve the user experience for trustworthy customers while keeping fraudsters at bay.

As fraud schemes continue to grow more sophisticated in 2026, the ability to see the bigger picture in real time will be the defining factor between businesses that react and those that anticipate. Real-time graph analytics doesn’t just uncover fraud – it gives businesses the clarity and confidence to leap ahead of threats, turning potential losses into measurable gains.

At Frogo, we’re proud to equip companies with the tools, intelligence and flexibility to do exactly that. With device fingerprinting, AI-driven scoring and graph-based forensic tools, our platform empowers businesses to understand fraud in context, respond immediately and continuously adapt to evolving threats. Because in a world of complex fraud, being reactive isn’t enough – you need to be one leap ahead.

We’re excited to share our insights in person at ICE Barcelona 2026. Stop by our booth #1G30 to see how Frogo can help your business leap into safety and catch the risks – one step ahead of every threat.

Leap Into Safety. Catch the Risks.