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Incognia Unveils AI-Driven Scam Prevention Tool for Fintech

Incognia Unveils AI-Driven Scam Prevention Tool for Fintech

First seen 24 Oct 2026, 18:42 UTC • •

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ThreatCluster AI
ThreatCluster •October 24, 2026 at 20:14 UTC
  • •Incognia's new tool targets authorized-payment fraud and social engineering.
  • •The solution identifies high-risk connections using a patented location technology.
  • •In pilot tests, it successfully flagged 70% of scam transactions.

Incognia has launched a Real-Time Scam Prevention solution aimed at combating authorized-payment fraud and social engineering schemes in the fintech sector. The tool utilizes a patented 'Physical Social Graph' to analyze physical relationships between senders and recipients, identifying high-risk connections that traditional methods may overlook. In a pilot study with a major financial institution, the technology detected approximately 70% of scam transactions, even when they appeared legitimate. This solution comes amid a surge in impersonation scams, with the FTC reporting $3.5 billion lost to such schemes in 2025. The AI model integrates various risk signals, including mule-account detection and device integrity monitoring, to provide real-time risk assessments. Incognia aims to enhance security by focusing on long-term behavioral patterns rather than just immediate transaction data. The launch reflects a growing need for advanced fraud prevention tools in an increasingly complex financial landscape.

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2026-10-22
Incognia launches Real-Time Scam Prevention
The new AI-driven tool aims to combat authorized-payment fraud in fintech by analyzing physical relationships between users.
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Common questions

How does the Real-Time Scam Prevention tool work?
It analyzes physical relationships between transaction parties to identify high-risk connections that traditional methods may miss.
What was the success rate in the pilot study?
The tool identified approximately 70% of scam transactions in the pilot with a major financial institution.
What types of fraud does this tool address?
It specifically targets authorized-payment fraud and social engineering schemes prevalent in the fintech sector.