Incognia Introduces Revolutionary AI-Driven Real-Time Scam Prevention Solution

Incognia's Innovative Approach to Scam Detection

In an era where digital scams are on the rise, Incognia has stepped up with a groundbreaking solution termed Real-Time Scam Prevention. The company, recognized for its expertise in cross-device risk intelligence, aims to bolster the defenses of financial institutions against scams that have wreaked havoc on consumers. The new solution utilizes a blend of AI technology and location intelligence, ensuring that fraud detection is not just reactive but proactive in identifying the risk before transactions are completed.

On October 21, 2026, Incognia's CEO, André Ferraz, emphasized the growing complexity of authorized-payment scams, where the perpetrator manipulates a legitimate customer into unwittingly forwarding money. According to the Federal Trade Commission (FTC), a staggering $3.5 billion was reported lost to impersonation scams in 2025, almost three times the figure reported just five years prior. This alarming statistic illustrates how traditional fraud controls often fail to protect users effectively, as they can only verify authentic accounts without discerning the manipulation behind fraudulent actions.

Incognia's solution addresses this critical gap by integrating its patented technology known as the Physical Social Graph. This intelligence employs persistent, apartment-level indoor location data to connect the dots between payment senders and recipients. This innovative approach allows banks to identify suspicious relationships that conventional transaction data would overlook, thus revealing coordinated fraud activities.

In a recent analysis involving a major financial institution's transactions, Incognia's Physical Social Graph technology successfully flagged approximately 70% of scam transactions. These results highlighted the power of understanding historical relationships in mitigating scam risks, even when standard fraud indicators appear valid. Ferraz points out that although banks excel at verifying the identity of initiators, the challenge lies in understanding the relationships to which funds are being directed.

With Incognia's robust Trusted Locations technology, the solution meticulously builds persistent location patterns based on user behavior over time. Rather than merely taking a snapshot of a user’s location during a transaction, it scrutinizes historical patterns between sender and receiver, generating a detailed Physical Social Graph that flags potential risks.

Further enhancing its defense mechanism, Incognia's AI model merges insights from the Physical Social Graph with indicators like mule-account detection, active-call monitoring, remote-access-tool detection, and device integrity assessments—all in real-time. This comprehensive analysis, when coupled with the financial institutions' data, illuminates the appropriate course of action to ensure secure transactions.

Moreover, Incognia's system promotes collaboration across institutions. By connecting payment activities and real-world relationships among various financial organizations, the technology reveals suspicious networks that discreetly facilitate fraud, which any single bank might miss.

Alan Gomes, co-founder and CTO of Incognia, illustrated the necessity of such intricate assessments, noting that proximity alone, like two individuals living in the same building, doesn’t necessarily translate to a genuine relationship. Conversely, two individuals residing in different cities might share a strong connection. This nuanced understanding of social dynamics, supported by apartment-level location intelligence, provides financial institutions with deeper contextual awareness that standard location data does not offer.

As Incognia continues to refine its technologies, the launch of the Real-Time Scam Prevention solution marks a pivotal advancement in the fight against financial fraud. Organizations are offered a powerful tool to combat the ever-evolving landscape of scams, ensuring that legitimate customers are not victims of fraudulent manipulation. To explore this solution further, visit Incognia.