Incognia introduces new suspicious locations feature

Mobile - suspicious activity identified by Incognia

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Location identity company, Incognia, has announced the launch of a new feature, Suspicious Locations.

According to the company, the feature combines device and precise location signals to proactively identify suspicious locations. Fraud and risk management teams across industries, including food delivery, ride-hailing, social media, marketplace, financial services and gaming, that use this signal will be alerted to relationships between devices and accounts that had previously gone undetected.

Incognia defines a suspicious location as a place where a high density of risky devices congregate. These devices may be flagged by Incognia for device integrity issues, such as rooting or app tampering, or they may be devices that have flags for previous fraudulent activity.

This new feature gives companies additional capabilities to identify returning bad actors and prevent organized fraud attacks. Incognia’s feature ensures that customers are alerted to suspicious behavior concentrated in one location and gives them the ability to block future activity originating only from that precise location, ensuring that false positives remain low.

Incognia maps signal environments based on a unique combination of GPS coordinates, WiFi signals, Bluetooth and cellular network data collected by its SDK integrated into mobile apps to provide real-time location of a device with 10ft of precision. This specific approach to location detection allows the solution to offer unparalleled precision and accuracy of the signal for assessing fraud risk.

“It’s about time we disrupt the fraudster’s playbook. With Suspicious Locations, Incognia has built on the recognition capabilities pioneered by device fingerprinting technologies. A new layer is needed to ensure companies are equipped with a stable and persistent digital identity solution,” said André Ferraz, Founder and CEO of Incognia

“Our newest layer of location intelligence will enable fraud and risk teams to identify and block suspicious behavior concentrated at micro-locations. This alert will prevent organized attacks at scale, while ensuring that user friction and false positives remain low.”

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