How Behavioural Analytics Can Help Detect Banking Scams and Account Takeover

Summary

ThreatFabric explains how behavioural analytics combines user interaction patterns with device-risk signals to help banks identify scams, account takeover and other fraud throughout a customer’s digital journey.

Key points

• The approach analyses interaction patterns such as typing rhythm, navigation, touch and mouse activity to identify behavioural changes associated with fraud.
• ThreatFabric says it monitors activity from before login through payment and transaction approval, rather than focusing only on authentication.
• The article describes combining behavioural signals with device indicators, including malware, remote-access tools and screen sharing, to assess fraud risk.
• ThreatFabric says its models do not collect physical biometric identifiers and use anonymised interaction characteristics; user inputs are not recorded.
• The company says Identity Models are tailored to individual users and typically need about 15–20 qualifying sessions to establish meaningful behavioural baselines.
• The article presents behavioural analytics as a complement to transaction monitoring, not a standalone control or replacement.

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