Kaspersky Anti-Targeted Attack Platform and Kaspersky Endpoint Detection and Response are two distinct cybersecurity solutions. User reviews indicate that Kaspersky Endpoint Detection and Response is preferred due to its more robust features, although Kaspersky Anti-Targeted Attack Platform is noted for its cost-effectiveness and reliable support.
Features: Users highlight the advanced threat detection mechanisms, high configurability, and reliable support of Kaspersky Anti-Targeted Attack Platform. On the other hand, Kaspersky Endpoint Detection and Response is praised for its comprehensive endpoint protection, real-time monitoring capabilities, and user-friendly features. The latter tends to have more extensive and user-friendly features, making it the superior choice in this section.
Room for Improvement: Users suggest that Kaspersky Anti-Targeted Attack Platform could benefit from improved integration with other security tools, more intuitive management features, and better reporting capabilities. Kaspersky Endpoint Detection and Response users point out the need for a more seamless update process, enhanced reporting capabilities, and improved integration with other systems and software.
Ease of Deployment and Customer Service: Kaspersky Anti-Targeted Attack Platform users report that the deployment process is straightforward with good customer service support. Conversely, Kaspersky Endpoint Detection and Response users mention easy-to-follow deployment procedures and exceptional customer support. Both products score well here, but Kaspersky Endpoint Detection and Response slightly surpasses due to its superior customer service feedback.
Pricing and ROI: Users find Kaspersky Anti-Targeted Attack Platform to offer good value for money with a quicker ROI. However, Kaspersky Endpoint Detection and Response is seen as worth the higher cost due to its enhanced features and better long-term ROI. Kaspersky Endpoint Detection and Response is perceived as providing better value despite the higher upfront costs.
| Product | Market Share (%) |
|---|---|
| Kaspersky Endpoint Detection and Response | 1.0% |
| Kaspersky Anti-Targeted Attack Platform | 0.5% |
| Other | 98.5% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 6 |
| Large Enterprise | 6 |
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.
Kaspersky Endpoint Detection and Response provides robust malware detection, endpoint security, integration with SIEM, control of USB devices, and behavior analysis, deployed on servers, mobile devices, and laptops.
Kaspersky Endpoint Detection and Response aids organizations in scanning environments, blocking sites, handling data transfers, and offering visibility into quarantine systems. Utilizing features such as encryption, machine learning analysis, caching, and automation, Kaspersky ensures enhanced security. The unified agent incorporates antivirus and EDR functionalities, centralizes management, and provides sandbox analysis alongside early-stage threat detection. Automated response capabilities improve efficiency, and the tool's lightweight nature maintains device performance despite high detection rates and advanced threat prevention mechanisms.
What are some of the key features?In industries like finance, healthcare, and retail, Kaspersky Endpoint Detection and Response can be implemented to protect sensitive data and critical systems against advanced threats. Financial institutions may leverage its high detection rates and behavior analysis to secure transactions and customer information. Healthcare organizations can utilize its sandbox analysis and early-stage threat detection to protect patient data. Retail businesses benefit from the enhanced security and efficient automated responses, ensuring customer data remains safe during transactions.
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