Cynet provides endpoint protection, threat detection, and response. It helps companies secure files, devices, and networks from zero-day threats, reducing the need for extensive support staff through its continuous monitoring, antivirus, and anti-malware functionalities.
Cynet offers comprehensive security features, including EDR, NGAV, and MDR, suitable for cloud, on-premises, and hybrid environments. Organizations benefit from its 24/7 SOC services, seamless integration with other cybersecurity systems, and intuitive graphical interface. Features like autonomous malware blocking, scalability, detailed network user behavior analysis, and rapid policy deployment ensure robust security operations.
What are Cynet's most valuable features?
- Intuitive Graphical Interface: Easy to use for streamlined operations
- Mobile Control: Manage security on the go
- Audit Function: Comprehensive visibility and user behavior analysis
- Autonomous Malware Blocking: Proactive threat prevention
- Scalability: Adaptable to organizations of all sizes
- 24/7 Monitoring: Continuous threat detection and response
- Easy Configuration: Simplified setup and maintenance
- Powerful Dashboard: Centralized, actionable insights
- Ransomware Protection: Safeguard against ransomware attacks
- Seamless Integration: Works with other cybersecurity systems
- Rapid Policy Deployment: Quick security policy implementation
What benefits and ROI should users look for in reviews?
- Reduced Support Needs: Automation reduces dependency on extensive support staff
- Enhanced Security: Continuous monitoring and malware protection improve overall security
- Operational Efficiency: Intuitive interface and easy configuration increase efficiency
- Scalability: Ability to grow with organizational requirements
- 24/7 SOC Services: Around-the-clock professional monitoring and response
- Cost-Effectiveness: Flexible licensing and reduced support costs
- Ransomware Defense: Protection against ransomware attacks minimizes potential loss
Cynet is implemented across industries like finance, healthcare, and retail due to its comprehensive cybersecurity capabilities. Organizations in these sectors benefit from detailed network user behavior analysis, data aggregation, automation, and incident response, ensuring robust protection for critical infrastructure and sensitive data.
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
