Threat Recognition
Detection and recognition of malicious software within a network that could pose a threat to sensitive information.
Cat avg: 9.5
Detection and recognition of malicious software within a network that could pose a threat to sensitive information.
Cat avg: 9.5
In-memory and application layer attack blocking (e.g. ransomeware)
Cat avg: 9
Capability to quarantine infected endpoint and terminate malicious processes.
Cat avg: 8
Analyzes various data reports and logs (DNS, firewall, user data, security information etc.) to identify threats in a network.
Cat avg: 9
Analyzing known factors such as behavior patterns, affected areas, and other specific features to more easily identify a threat.
Cat avg: 8
Generates reports that display information on threats (such as name, type, frequency of attack, area affected, etc.)
Cat avg: 7
Systems in place to automatically alert, report, or notify of issues that may need timely remediation.
Cat avg: 8.5
Endpoint security software protects enterprise connected devices from malware and cyber attacks.
In-memory and application layer attack blocking (e.g. ransomeware)
Category average: 9
Capability to quarantine infected endpoint and terminate malicious processes.
Category average: 8
Features for categories that leverage threat intelligence in network security
Analyzes various data reports and logs (DNS, firewall, user data, security information etc.) to identify threats in a network.
Category average: 9
Detection and recognition of malicious software within a network that could pose a threat to sensitive information.
Category average: 9.5
Prioritizing vulnerabilities, to determine which vulnerabilities are most urgent and require a quicker resolution.
Category average: 8
Systems in place to automatically alert, report, or notify of issues that may need timely remediation.
Category average: 8.5
Analyzing known factors such as behavior patterns, affected areas, and other specific features to more easily identify a threat.
Category average: 8
Generates reports that display information on threats (such as name, type, frequency of attack, area affected, etc.)
Category average: 7
Leveraging multiple sources of information (such as threat intelligence databases) to automatically identify threats.
Category average: 9
Tools that actively scan a network for threats. These tools will commonly integrate with and use threat intelligence databases for threat identification and elimination.
Scans that identify vulnerable areas within a network.
Category average: 8
Using threat behavior to establish a pattern which can be used to identify the similar threats faster in the future.
Category average: 8.5