What is a common challenge associated with traditional SIEM solutions?

A common challenge associated with traditional SIEM (Security Information and Event Management) solutions is that they can lead to alert fatigue due to excessive false positives. As these systems aggregate and analyze a multitude of security events and logs from various sources, they often generate a high volume of alerts. Many of these alerts may not correspond to actual security incidents, resulting in security teams being overwhelmed with notifications that do not require urgent attention.

This phenomenon can desensitize the security personnel, making it difficult for them to effectively prioritize genuine threats and respond accordingly. Over time, the incessant stream of false alarms can diminish the team's efficiency and focus, potentially allowing real threats to go unnoticed or unaddressed.

In contrast, while real-time detection is an inherent capability of SIEM solutions, the downside often comes with managing the output of that detection. Likewise, while some solutions can be user-friendly, they still require a significant level of expertise to configure correctly and interpret the results effectively. Lastly, minimal maintenance is often not achievable with traditional SIEM deployments due to the complex nature of tuning systems to reduce false positives and to keep them effective over time. Thus, the challenge of alert fatigue stemming from excessive false positives remains a well-recognized issue in the field of cybersecurity