Eika Group cuts phishing losses 90% with Featurespace adaptive AI fraud detection

Eika Group, a consortium of 46 community and regional banks across Norway, faced a convergence of fraud pressures that exposed the limitations of existing detection. Fraud was rising in both frequency and sophistication, with elderly customers targeted. Increasingly complex fraud patterns slipped through existing filters. Meanwhile, manual transaction reviews were straining operational capacity. The cumulative effect was measurable financial loss.

Eika deployed Featurespace's ARIC Risk Hub, an adaptive AI platform recently acquired by Visa. The system applies anomaly detection and pattern recognition by building individual behavioural profiles for each customer, establishing a dynamic baseline of normal activity against which every transaction is evaluated in real time. Every payment initiated through Eika's online or mobile banking channels is assessed before completion; suspicious transactions are automatically flagged or blocked. The platform operates as an open ecosystem compatible with payment rails beyond Visa's network. Jon Hagen, Chief Architect at Eika, noted that as fraud patterns evolve, adjusting detection rules is straightforward within the system's framework.

Between 2023 and 2024, Eika achieved a 90% reduction in losses from phishing attacks.

• Adaptive AI outpaces static rules: behavioural profiling that updates continuously allows detection to keep pace with evolving fraud tactics without requiring constant manual rule maintenance.
• Consortium deployments require open-ecosystem platforms: shared infrastructure across multiple member institutions demands fraud coverage that spans all payment rails, not a single network.
• False positive reduction is as important as fraud catch rate: minimising friction for legitimate customers is a key success metric alongside loss prevention.