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Group-IB introduces Secure Bank on a global market

September 2018 by Emmanuelle Lamandé

Group-IB introduces Secure Bank to the international
market. Secure Bank is a product catered to financial institutions that
aims to prevent client-side fraud and attacks across sessions, platforms,
devices, channels, and entities.

Group-IB’s Secure Bank is equipped with a full stack of anti-fraud
technologies which protects banks and its customers across all layers while
identifying fraud at the preparation stage. Complementing other anti-fraud
systems, Secure Bank can block thefts in real time and detect attacker’s
logins, social engineering scams, botnets, money laundering, and the
possible infection or compromise of a user’s device.

Extensive expertise in computer forensics, threat intelligence, and
detection enables Group-IB to aggregate a broad spectrum of data: “smart”
behavior analytics, anomaly detection data, daily updates of rules and
signatures, as well as 100,000+ threat actor profiles. This allows banks to
be on alert for new attacks and fraud schemes unknown to any other
anti-fraud systems.

Secure Bank continuously processes 9.5 mln sessions a day. This is
accomplished by analyzing and comparing the typical actions of both real
users and those of fraudsters during the sessions. By using a number of
bio-chronometrics parameters (velocity and navigation, mouse movements,
keystrokes, typing cadence, delays, etc.), Secure Bank uses behavioral
analytics to identify if a legitimate user or fraudster is logged in,
reducing false positives.

Group-IB developers particularly focused on protection against Android
Trojans. The number of thefts involving this type of Trojan has been
increasing constantly and will continue to grow in 2018. Secure Bank
extends the range of analyzed channels to mobile devices in order to
protect bank payments on smartphones, tablets, and other iOS and Android
devices. Secure Bank’s unique adaptive logic makes it possible to correlate
users’ behavior on their devices as they interact with their bank through
various channels, as well as their behavior across different banks to
prevent cross-banking fraud. Machine learning algorithms and advanced rule
engines allow the system to detect unusual or suspicious activity initiated
by a criminal impersonating a real user.

The Secure Bank module can either be loaded alongside bank pages on the
end-client’s device or as an SDK in mobile banking applications.


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