Financial Institution Discloses that BluVector’s Machine Learning-Based Detection Delivered ROI Within First Week
Read the Case Study: International Bank of Commerce Detects Jaff Malware
Arlington, Va.—May 22, 2018—BluVector, a leader in AI-driven network security technology, today announced that IBC Bank (IBC), the flagship bank of International Bancshares Corporation and one of Texas’ largest holding companies, reported that its decision to use BluVector Cortex to improve its cybersecurity detection and response capabilities for advanced targeted attacks had already resulted in a significant success. Installed and operational within hours, IBC Bank reported that BluVector Cortex provided immediate return in its first week of operation by detecting targeted attacks designed to circumvent traditional malware detection methods.
“I was impressed with how effective BluVector’s Machine Learning Engine for malware detection was in this case,” said John Byers, Senior Vice President and CISO at IBC Bank. “BluVector’s platform was the first and only vendor in our infrastructure to detect this event and, more importantly, deliver the surrounding context we needed to respond in a real-time manner.”
In March 2018, IBM’s X-Force Cyber Security Intelligence Index identified the financial services sector as the most targeted industry globally for the second year in a row. In an effort to combat advanced threats and targeted attacks, IBC turned to BluVector Cortex to deliver fast and accurate malware detection that didn’t rely upon rules or signatures. As a result of its investment, IBC was also able to bolster its visibility into North-South and East-West traffic and gain additional context surrounding the source and intended destination of threats.
“Security solutions generate too many alerts, leaving security pros swimming in threat intel and begging for automation,” said Byers. “Protecting our customers’ personal information is of the utmost importance, and in order to do that we deploy the best available solutions managed by our security experts. BluVector’s approach to detection and response with machine learning gave my team the confidence to respond to an alert because it poses a real threat.”
“In today’s environment, it is hard to keep up with emerging threats in a way that provides significant efficiencies to the security professionals on the front line,” said Kris Lovejoy, CEO, BluVector. “Forward-thinking CISOs like Mr. Byers have turned to technology and automation to help make security analysts as effective and efficient as possible.”
BluVector Cortex leverages supervised machine learning that delivers highly accurate detection rates of advanced threats in milliseconds. Automation aggregates threat and network data that incident response teams use as context for decision making, shortening the response window from months or days to hours or minutes. Part of a broad security ecosystem, BluVector easily integrates with enterprise-grade cybersecurity infrastructure to bring together a best-of-breed approach to advanced threat detection.