Security programs are now capable of analyzing and identifying patterns and irregularities in vast amounts of data. But how much data is adequate? And how much is excessive? The more data you need to keep and the more functions you incorporate, the higher the expenses climb. What is the appropriate equilibrium? Learn more in this exclusive TechRepublic Premium article by Drew Robb.
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Problematic Aspects of Security Tools
Deploying SIEM and other security systems encounters various challenges: insufficient workforce, knowledge disparities, limited log resources, inconsistencies in data accuracy, alert overload, and failure to detect severe breaches.
Shortage of staff: Operating contemporary security systems demands personnel with advanced expertise. They must be capable of collecting data from a diverse range of sources, examining logs, handling incidents, and overseeing the security perimeter. Unfortunately, these resources are scarce. As per the World Economic Forum, there is a shortage of almost four million cybersecurity professionals. It’s a competitive market. Individuals with sought-after skills are consistently being pursued. Those who manage to acquire them typically need to pay a premium.
Knowledge disparities: New entrants to the workforce often possess the latest skills but lack familiarity with systems that may date back several decades. Coupled with the significant annual retirements of the baby boomer generation, knowledge gaps within data facilities are becoming increasingly evident.
Inadequate log resources: Limited availability of comprehensive log resources is a prevalent issue in security. Systems can scrutinize certain resources but not others. Integration issues sometimes contribute to this challenge. The plethora of data sources makes it problematic to consolidate them all for analysis within a single platform. This leads to security assessments based on incomplete data, erroneous alerts, and overlooked threats.
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EFFORT SPENT: Crafting this material entailed 20 hours of dedicated writing, editing, research, and design.
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