Cyberbit, whose cybersecurity solutions protect the world’s most sensitive systems, has been awarded the Frost & Sullivan 2017 Technology Leadership Award for Cyber Security Detection and Response. By selecting Cyberbit, Frost & Sullivan recognizes the company’s capabilities in detecting unknown, signature-less and file-less attacks, including ransomware.
Cyberbit’s EDR was originally developed to meet the requirements of high-risk military and government organizations needing the superior detection and response capabilities that endpoint security systems cannot provide. By using an adaptive approach that leverages machine learning and does not rely on indicators of compromise (IOCs), Cyberbit EDR automatically tailors a behavioral detection policy to the customer’s organization. This approach dramatically improves the customer’s ability to identify targeted and unknown threats that bypass conventional systems, and minimizes false positives.
Research Analyst Danielle VanZandt said: "Cyberbit provides one of the most effective solutions for detecting unknown, signature-less and targeted threats, including file-less attacks and ransomware. By using machine learning and behavioral analytics, Cyberbit’s EDR enables quick identification of an attack’s root cause and enacts are rapid response. Cyberbit's approach provides its customers with substantially higher detection and response capabilities, while keeping low false positive ratios. As a result, security teams can focus on high-priority alerts and are not distracted or overloaded with false alarms."
"Organizations now realize that the endpoint is the attackers’ priority entry point and that conventional security products cannot identify the next generation of signature-less and fileless attacks," said Adi Dar, CEO of Cyberbit. "It's an honor for our adaptive, behavioral approach to be recognized by Frost & Sullivan as the new way to mitigate these new attack forms that often slip past conventional solutions."