HERZLIYA, ISRAEL–(Marketwired – Jun 1, 2016) – TopSpin Security, Inc., a provider of intelligent malware deception and detection solutions, today announced that First Midwest Bancorp, Inc. (“First Midwest”), one of the largest independent bank holding companies based in the United States Midwest, selected DECOYnet to meet its need for proactive security protection.
First Midwest is a growing organization in a highly regulated industry, and when it comes to creating a cybersecurity architecture, it faces a high level of complexity as it continues to add new lines of business and incorporate third-party applications. To meet its growing needs, First Midwest implemented TopSpin Security’s DECOYnet to obtain real-time security visibility and meet compliance requirements, such as those put forth by the Gramm-Leach-Bliley Act (GLBA) and Federal Financial Institutions Examination Council (FFIEC).
“The Bank selected DECOYnet because it provided the capabilities we needed, without having to add additional team members,” said Weston Nicolls, SVP, Information Security Manager, First Midwest. “We especially appreciate the level of visibility we receive and the solution’s ability to provide alerts that are easy to take action on. DECOYnet enables us to protect the critical assets of First Midwest without impacting the high level of service our clients expect.”
DECOYnet is a defense strategy solution comprised of a network of decoys that lure attackers looking to steal valuable information. Once an attacker has been discovered, DECOYnet provides a complete forensic trail of the attacker’s movements and deceives, confuses and defeats the attack in progress. It also observes activity in a network, analyzes communication between assets and remote locations and correlates the collected intelligence into accurate, actionable alerts. Immediately after deployment within First Midwest’s network, DECOYnet began to map data activity throughout the bank’s communication channels, endpoints and applications. It quickly identified complex behavioral patterns throughout the network, as well as potential blind spots. For the full article click here
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