Kaspersky Anti-Targeted Attack Platform and Sangfor Endpoint Secure are advanced cybersecurity solutions that cater to enterprise-level threat detection and response. Kaspersky seems to have the upper hand due to its high detection accuracy and sophisticated algorithms, while Sangfor is advantageous for its comprehensive endpoint protection and ease of management.
Features: Kaspersky Anti-Targeted Attack Platform's features include advanced threat hunting capabilities, seamless integration with other security tools, and high detection accuracy. Sangfor Endpoint Secure offers extensive endpoint protection, asset management tools, and efficient threat response.
Room for Improvement: Kaspersky Anti-Targeted Attack Platform could benefit from enhanced user documentation, a more intuitive configuration process, and improved usability. Sangfor Endpoint Secure may need improved scalability, better support for diverse operating systems, and enhanced user interface.
Ease of Deployment and Customer Service: Kaspersky's deployment is flexible with both on-premises and cloud options, receiving positive feedback for its customer service and support. Sangfor Endpoint Secure is praised for straightforward deployment processes and dependable technical support.
Pricing and ROI: Kaspersky Anti-Targeted Attack Platform has a higher initial setup cost but delivers significant ROI through its advanced threat detection and mitigation. Sangfor Endpoint Secure is more affordable and offers a good ROI through comprehensive endpoint protection and management solutions.
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.
Organizations use Sangfor Endpoint Secure for endpoint protection and security management, managing devices, servers, and networks against malicious threats. It also assists in blocking websites, managing infrastructure, applications, antivirus needs, and aids in migrating to cloud environments.
Sangfor Endpoint Secure offers end-to-end protection, incorporating file protection, AI detection, behavior analysis, access control, and ISP load balancing. It facilitates VM migration with minimal downtime and includes a dual-end user interface for creating firewall rules, uploading images, and configuring VM settings. Enhancements such as Hyper-V capabilities, policy certificates, honeypot features, and next-generation firewall integrations are available. However, Sangfor Endpoint Secure could improve on console management, reporting functionalities, public cloud migration support, navigation, VPN system issues, licensing, update management, transitioning processes, and incorporating healing capabilities.
What are its most important features?Sangfor Endpoint Secure is implemented across various industries to ensure comprehensive security management and protection. IT departments leverage its VM migration capabilities for seamless transitions to cloud environments. Healthcare organizations use it to secure sensitive patient data, while educational institutions utilize it for safeguarding academic records and personal information. Financial services employ it to protect critical transactional data and adhere to stringent compliance requirements.
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