Guardicore announced new features that reduce the complexity of segmentation policy creation and enforcement to more effectively secure complex enterprise environments against ransomware attacks.
According to Forrester’s New Tech: Microsegmentation, Q3 20211 report, “Ransomware, once it gets into a network perimeter via phishing or other threat vector, spreads internally through SMB exploits…and RDP exploits…microsegmentation will slow down the propagation of future ransomware.”
Yet, as organizations increasingly adopt cloud, hybrid and OT/IoT technologies, consistent segmentation policy enforcement across operating environments is a primary area of concern. Guardicore’s latest features simplify policy creation and enforcement and strengthen ransomware protection across any environment.
“Repeated headlines of successful ransomware attacks highlight the need for granular segmentation controls that prevent lateral movement and stop attackers from compromising high-value targets,” said Pavel Gurvich, SVP, Akamai Enterprise Security (former CEO of Guardicore). “Our agent-based solution has proven highly effective in stopping ransomware, but agents cannot be deployed in every modern environment. Guardicore Centra’s latest features strengthen existing ransomware protection capabilities, extending coverage to anywhere a business’ ‘crown jewels’ are held.”
Unlike many segmentation vendors, which have limitations on the operating systems and environments they support, Guardicore provides coverage for all environments using a single tool with minimum performance and operational impact. The company creates silos between servers, operating systems, cloud instances, and applications to prevent, detect, and remediate ransomware and advanced attacks. Guardicore’s latest features and benefits include:
- AI labeling and policy suggestion: Implementing effective segmentation begins with mapping assets and ends with enforcing policy. Neither are inherently simple tasks. Guardicore’s latest release tackles both of these challenges. AI labeling that leverages advanced machine learning techniques trivializes the asset mapping phase. Policy suggestions clear the…