ESET Inspect and Kaspersky Anti-Targeted Attack Platform are both advanced cybersecurity solutions designed to detect and mitigate sophisticated threats. Users appreciate ESET Inspect for its pricing and support, yet Kaspersky Anti-Targeted Attack Platform is often favored for its comprehensive features and perceived value.
Features: ESET Inspect is praised for its effective threat detection, intuitive alert management, and pricing. Kaspersky Anti-Targeted Attack Platform stands out for its automated response capabilities, detailed forensic analysis, and robust feature set.
Room for Improvement: Users highlight the need for ESET Inspect to enhance its integration capabilities, the granularity of its analytics, and overall functionality. On the other hand, Kaspersky Anti-Targeted Attack Platform is critiqued for its complexity, steep learning curve, and usability.
Ease of Deployment and Customer Service: ESET Inspect is noted for a straightforward deployment process and reliable customer support. Kaspersky Anti-Targeted Attack Platform, while offering extensive functionality, often requires a more complex deployment and configuration process, though customer service is also highly rated.
Pricing and ROI: ESET Inspect generally has a more favorable pricing structure and faster return on investment as reported by users. Kaspersky Anti-Targeted Attack Platform, with its extensive feature set, carries a higher cost but users believe the comprehensive security benefits justify the price.
ESET Inspect is an essential component to help ensure the highest level of enterprise security. While standard ESET Endpoint Security provides strong protection, ESET Inspect takes your environment's security to a new dimension. A security tool is needed to help security professionals protect their sensitive data and detect and investigate security incidents, advanced threats, and targeted attacks or breaches on endpoint devices. ESET Inspect is a tool that offers the peace of mind of continuous protection and security monitoring in a powerful and easy-to-use solution.
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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