Cyberbit’s EDR was originally developed to meet the requirements of high-risk military and government organisations 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 behavioural detection policy to the customer’s organisation. 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 behavioural 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."

"Organisations now realise 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 honour for our adaptive, behavioural approach to be recognised by Frost & Sullivan as the new way to mitigate these new attack forms that often slip past conventional solutions."

As a technology leader leveraging over 15 years of expertise, Cyberbit’s technologies and IP were developed to defend the world's most sensitive networks.