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Cynet 360

Cynet 360 is an advanced threat detection and response platform that accurately detects sophisticated cyber-attacks such as Advanced Persistent Threats (APT), advanced malware, trojans, ransomware and zero-day attacks that maybe lurking in an organization.

Cynet’s full enterprise visibility of endpoint and network activity allows it to detect threat indicators across the attack chain. Through continuous monitoring across files, user behaviors, network traffic, and endpoints, behavioral and interaction indicators are assessed to give a complete picture of an attack operation over time.

Cynet’s machine learning algorithms constantly profile what’s normal for a monitored environment; observed anomalies, threat indicators, suspicious traffic, and decoy interactions are correlated and enhanced with Cynet’s Threat Intelligence Cloud to provide true alerts of security incidents with risk levels for rapid response triage.

Driven by a light-footprint sensor agent, Cynet can be rapidly deployed to thousands of hosts with Windows, Mac OS, or Linux OS with no impact to the user. Automatic or manual response can be done through a single interface, enabling the remediation of affected hosts by killing processes, verifying files with dynamic analysis, blocking traffic, removing files, restarting hosts, changing passwords and more. Advanced forensic capabilities reveal direct threat evidence on an affected host, and associates the host with processes, users and network traffic data.

Cynet CyOps delivers additional value to the Cynet 360 platform with 24/7 insight and intelligence. Staffed by an elite group of cyber threat analysts and investigators, Cynet’s CyOps is an extra set of expert eyes dedicated to continuously monitor, prioritize and respond to threats.

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The ROI4CIO Product Catalog is a database of business software, hardware, and IT services. Using filters, select IT products by category, supplier or vendor, business tasks, problems, availability of ROI calculator or price calculator. Find the right business solutions by using a neural network search based on the results of deployment products in other companies.