How AI Can Reduce Alert Fatigue in Your SOC

Alert fatigue is a common phenomenon in Security Operations Centers (SOCs). It’s the digital equivalent of crying wolf. As SOCs are flooded with a relentless stream of alerts—many of which are low priority or false positives—it becomes increasingly difficult to identify truly critical security threats. Analysts are stuck spending countless hours verifying, contextualizing, analyzing, and acting on information, often at the cost of missing out on critical alerts. Devo’s recent research underscores the scale of the problem: A whopping 83% of analysts report that they are overwhelmed by alert volume, false positives and a lack of alert context.

In our new report “The Evolution Toward an Alertless SOC: A Smarter Approach to Security Operations,” we offer a smarter, faster solution to this problem.

AI Shifts SOCs From Reactive to Proactive

Advancements in AI, specifically in the realm of language learning models (LLMs), present an opportunity to SOCs that was unfathomable only a few years ago. AI has the capability to sift through petabytes of data in minutes, making connections between unrelated pieces of information. A task that would be impossible with just manual human effort. This translates into meaningful information for analysts right from the get-go, triggering automated actions to remediate common issues.

The objective is not to use AI to simply reduce the negative impact of alerts. The goal is to lessen the dependence on alerts altogether. According to our research, spending more time on proactive investigations rather than alert respones is a top priority for 82% of organizations. By effectively leveraging AI and automation, SOCs can transition from an archaic, alert-centric, reactive model to a more proactive approach.

This approach empowers analysts to query the data that triggered alerts, investigate deeper, and address root causes before incidents escalate. With AI-powered automation, the focus shifts towards identifying unusual data patterns and behavioral insights. This enables analysts to focus their efforts on interpreting events, making sense of the data, and uncovering malicious activity that might slip through the cracks in traditional SOC workflows.

5 Benefits of an Alertless SOC

An Alertless model will revolutionize security operations by empowering organizations to proactively address evolving threats and achieve a stronger security posture. Here are five benefits of an Alertless SOC:

1. Strengthen security posture with proactive threat detection, faster incident response, and complete visibility.
2. Reduce risk and optimize security resources through intelligent automation, generative AI, and streamlined workflows.
3. Gain a holistic understanding of the threat landscape by correlating events, enriching data, and analyzing threats across all systems.
4. Minimize business disruption with accelerated incident response and reduced dwell time.
5. Improve compliance with built-in compliance mapping and reporting capabilities.

AI and automation offer the perfect antidote to the alert fatigue that is plaguing SOCs today. By transitioning to an Alertless model, organizations can move from a reactive stance to a proactive one, effectively improving their security posture and reducing risks.

Download this report now to uncover the key components of an Alertless SOC and the transformative benefits it can offer to your organization.