Cybereason Endpoint Detection & Response and Kaspersky Anti-Targeted Attack Platform are both advanced cybersecurity solutions. Cybereason is favored for its support and pricing, while Kaspersky is valued for its extensive features.
Features: Cybereason offers robust threat detection, automated response, and detailed incident analysis. Kaspersky features detailed attack visualization, threat intelligence integration, and advanced sandboxing.
Room for Improvement: Cybereason users suggest improvements in system resource utilization, streamlined integration, and enhanced features. Kaspersky users seek better reporting capabilities, reduced false positives, and improved performance.
Ease of Deployment and Customer Service: Cybereason is praised for its straightforward deployment and exceptional customer support. Kaspersky's deployment can be complex, though its customer service is helpful.
Pricing and ROI: Cybereason is cost-effective with satisfying ROI. Kaspersky’s pricing is higher, but its extensive features justify the expense, making it competitive.
Cybereason's Endpoint Detection and Response platform detects in real-time both signature and non-signature-based attacks and accelerates incident investigation and response. Cybereason connects together individual pieces of evidence to form a complete picture of a malicious operation.
Today’s cybercriminals constantly design unique and innovative methods of penetration and compromise. To avoid perimeter prevention technologies they use social engineering, non-malware and supply chain attacks to operate under the radar of security designed to catch ‘bad’ traces. It’s not enough to just ‘know’ what’s bad or dangerous – enterprises need to understand what’s normal, and use AI-driven techniques that simplify and automate this process. Targeted Attack Analyzer is a machine learning engine that involves self-learning to establish the baseline of normal, legitimate activities of an entire network. Through continuous network telemetry collection it finds deviations, detects suspicious activities and predicts further malicious actions at the initial stages of multilayered attacks.
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