Industrial, manufacturing, and telecom companies are under increasing threat from cyber-criminals intent on penetration of vulnerable entry points. The threat is compounded by legacy security applications that are unable to provide the live security health scores required to maintain continuous cyber vigilance.
There are many cyber-security metrics that can be tracked. Some provide more value than others. Focusing on those high-impact metrics is crucial to the creation of dynamic cyber-security health scores.
Tracking the number of intrusion attempts helps identify existing vulnerabilities and provides insights into the size of the digital threat landscape.
A qualitative rating of the current and potential future impact of a cyber intrusion.
Measurement of the amount of time between cyber intrusion and system detection.
Real-time analysis of the speed and effectivity of cyber-attack mitigation actions.
Real-time identification of unauthorized devices operating on the network as well as their potential risk.
Continuous monitoring and reporting of shifting vulnerabilities and potential attack vectors across the entire network or asset ecosystem.
AI-enabled data synthesis and live regression analysis closes existing gaps in threat assessment accuracy and provides continuous insights into current and future threats.
Cyber-security stakeholders can quickly determine the origin, nature, and impact of a cyber intrusion, vastly improving MTTD and MTTR performance.
Ability to customize security heath score components and metrics to meet the existing demands of the organization and to quickly onboard new AI-powered analytics as needed.
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