Why a Security Maturity Model Can Transform How You Use Analytics

Why a Security Maturity Model Can Transform How You Use Analytics



With cyberattacks and breaches on the rise, security should be a major concern for all companies. In particular, enabling the development of an analytics maturity model is a useful addition to your traditional security information and event management (SIEM)-based operations.


It is possible to step away from only applying the traditional SIEM model with its rule-based analytics and move toward an integrated approach. The security capabilities built over the last decades based on SIEM and security orchestration and response are valuable. However, organizations can now move toward a security model that leverages the power of the traditional SIEM model and data science.  




Although there is not a one-size-fits-all approach when it comes to implementing a security analytics program, the security maturity model gives an indication of what one can expect and what many organizations have experienced. By identifying in which stage of the maturity model your company is, you can identify key milestones to focus on to move to the next stage as quickly and smoothly as possible. 



The Cost of a Data Breach is Time and Money  


A recent market study found that the average cost of a data breach is $3.9 million. As if this wasn’t enough, the same study also showed that a breach stays undetected on average for 280 days within the company’s environment.





What does the 280-day figure mean for SIEM-based
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