Datto Endpoint Detection and Response (EDR) and Kaspersky Anti-Targeted Attack Platform are both competing in the cybersecurity solutions category. Based on user satisfaction, Kaspersky has the upper hand in features, while Datto EDR is favored for its pricing and support.
Features: Datto EDR is praised for comprehensive threat detection and response capabilities, user-friendly setup, and detailed reporting. Kaspersky offers advanced threat protection, adaptability to complex environments, and superior threat intelligence.
Room for Improvement: Datto EDR could enhance its real-time response speed, provide better user guidance, and refine its detailed reporting. Kaspersky needs to improve software integration with other systems, simplify the configuration process, and facilitate easier adaptability.
Ease of Deployment and Customer Service: Datto EDR is noted for easy deployment and responsive customer support. Kaspersky's deployment can be more complex and may require additional configuration, but users find the customer service knowledgeable and helpful.
Pricing and ROI: Datto EDR is appreciated for its cost-effectiveness and good ROI. Kaspersky, although more expensive, is considered worth the investment due to its advanced security features and higher ROI.
With Datto Endpoint Detection and Response (EDR) you can detect and respond to advanced threats. Datto EDR is an easy to use cloud based EDR solution that's designed for Managed Service Providers (MSPs).
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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