It is available as an add-on to GravityZone Business Security.
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GravityZone-manages full disk encryption uses Windows BitLocker and Mac FileVault, taking advantage of the technology built into the operating
Phishing, targeted attacks, CEO fraud and malware in their tracks. The ultimate multilayered protection for your entire organization from known, unknown and emerging email security threats. It helps extending protectedĪreas, now with network based security that blocks threats like Brute Force attacks, Password Stealers, Network Exploits, lateral movementsīefore they can execute. Get a new level of protection against attackers seeking to access the system by exploiting network vulnerabilities. Anti-phishing protection automatically blocks phishing and fraudulent web pages. Web Security filtering enables real-time scanning of incoming web traffic, including SSL, http and https traffic, to prevent the download of Policy-based endpoint controls include the firewall, device control with USB scanning, and web content control with URL categorization. GravityZone’s technology is equipped to tackle advanced, evasiveĮxploits that targeted attacks rely on to penetrate an infrastructure.
Verification, stack pivot, return-oriented-programming (ROP) and others. Advanced mechanisms watch memory access routines to detect and block exploit techniques such as API caller Advanced Anti-ExploitĮxploit prevention technology protects the memory and vulnerable applications such as browsers, document readers, media files and Unknown advanced malware, including ransomware.
It takesĪppropriate remediation actions, including process termination and undoing changes the process made. Space (hijack process memory for privilege escalation), replicate, drop files, hide from process enumeration applications and more.
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Suspicious activities or anomalous process behavior, such as attempts to disguise the type of process, execute code in another process’s Process Inspector operates in zero-trust mode, continuously monitoring all processes running in the operating system. This dramatically improves the effectiveness of malware detection and minimizes false Gathered from over 500 million endpoints globally. Learning models use 40,000 static and dynamic features and are continuously trained on billions of clean and malicious file samples Machine learning techniques use well-trained machine models and algorithms to predict and block advanced attacks.
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