SIEM is vital for every organization. However, companies need to be careful of its potential pitfalls.
FREMONT, CA: Security Information and Event Management (SIEM), might seem complicated, from outside. If deployed or chosen thoughtlessly, SIEM can prove to be expensive and difficult to implement and maintain. This cybersecurity’s branch needs hands-on experience and constant evaluation of optimal performance.
SIEM offers essential capabilities for the latest cybersecurity policies like log management, compliance reporting, and threat detection. However, enterprises have to be very careful before deploying it.
1. SIEM Doesn’t Scale
It is a great failure for an enterprise if it selects a SIEM solution that is unable to scale. For context, substituting an already deployed SIEM solution is a generally expensive and frustrating process.
Legacy SIEM solution deploys from a client or provider server through an on-premises model. However, these SIEM solutions cannot perform the vital log management and threat identification on hybrid or cloud IT environments.
Therefore, if a company is planning to digitally transform or embrace an optimized hybrid environment, choosing an on-premise SIEM solution will not be the best idea. SIEM confined to the on-premises environment can restrict the impact of cybersecurity threat detection and response.
2. Inappropriate Correlation Rules
SIEM operates based on some rules. These rules guide how the solution correlates safety events throughout the accumulated and normalized log data.
In simple words, correlation rules define what leads to abnormal activity or behavior. From those security events, the company’s solution creates security alerts that tempt the company’s IT teams to an investigation. From there, the company’s team can uncover dwelling dangers or possible security holes.
Moreover, next-gen SIEM solutions frequently hire Machine Learning, which takes the initial rule of correlation supplied to it and develops them. ML involuntarily expands and adjusts its rules to fit with new data and new scenarios.
3. Failing to Provide Good Information
SIEM functions are based on correlation rules, as well as the data it is fed. Feeding SIEM security-associated data leads to more accurate alerts. However, feeding it other information can create hazardous amounts of noise and more false positives.
Moreover, the company’s SIEM solution must prove capable of offering real-time analytics throughout the entire cloud to provide the company visibility into possible anomalies across its IT environment.
The bottom line is that companies should dwell on these errors and should not let SIEM mistakes ruin their cybersecurity success.
See Also: Top Cybersecurity Companies