NetWitness NDR and Kaspersky Anti-Targeted Attack Platform offer solid solutions in network detection and response and targeted attack prevention respectively. Kaspersky Anti-Targeted Attack Platform is preferred for its analytical capabilities and user-friendliness, while NetWitness NDR is noted for its comprehensive visibility and threat detection features.
Features: NetWitness NDR provides extensive threat detection with real-time data analysis, detailed network insights, and broad visibility into network traffic. Kaspersky Anti-Targeted Attack Platform offers advanced anti-malware capabilities, sophisticated attack mitigation features, and effective targeted attack prevention.
Room for Improvement: NetWitness NDR could enhance its integration with other security tools, improve scalability, and better tool synergy. Kaspersky Anti-Targeted Attack Platform users seek better threat intelligence updates, more intuitive incident response processes, and improved intelligence and response ease.
Ease of Deployment and Customer Service: NetWitness NDR is recognized for straightforward deployment and responsive support, though the setup can be complex at times. Kaspersky Anti-Targeted Attack Platform shows quicker responsiveness and ease of use, with a smoother setup experience.
Pricing and ROI: NetWitness NDR has higher initial setup costs but offers a justified ROI with thorough threat detection. Kaspersky Anti-Targeted Attack Platform provides competitive pricing with flexible licensing models and positive ROI due to effective threat prevention.
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.
Using a centralized combination of network and endpoint analysis, behavioral analysis, data science techniques and threat intelligence, NetWitness NDR helps analysts detect and resolve known and unknown attacks while automating and orchestrating the incident response lifecycle. With these capabilities on one platform, security teams can collapse disparate tools and data into a powerful, blazingly fast user interface.
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