The analyst arrives at work, opens the <a href="https://it-eam.com/en/blog/seguranca/ibm-qradar-siem-and-soar-more-agility-in-threat-detection-and-response">SIEM</a>, and finds 1,000 alerts in the queue. The inevitable question arises: which one could take the company down today? As triage begins, new alerts keep coming in, and the queue doesn’t shrink.
By the end of the shift, hundreds of events remain unanalyzed. This is not an isolated situation. It’s the reality of many Security Operations Centers.
<h2>Reactive SOC: the problem is not the volume of alerts</h2>
But there is a more important question that is almost never asked: why are we generating so many alerts?
The most critical issue is not just the volume, but the fact that, in this scenario, real incidents go unnoticed. This doesn’t happen due to a lack of team capability, but because of a structural flaw in the reactive model, where the focus is on the symptom rather than the root cause.
<h2>Why a reactive SOC enters a cycle that is hard to break</h2>
A reactive SOC operates in a cycle that is difficult to interrupt. The high volume of alerts forces fast and superficial triage, while the lack of context increases the time required to understand each event. Relevant incidents get lost in the noise, pressure builds, errors increase, and as a consequence, more alerts are generated or simply ignored.
To make matters worse, the most common reaction is to invest in more tools. Without a strategy, this only amplifies the problem, generating more data, more alerts, and more complexity.
<h2>What keeps the SOC stuck in the same problem</h2>
The issue is not the number of alerts, but the lack of understanding of why they exist. As long as the SOC continues focusing on handling alerts, closing tickets, and reducing queues, it will remain trapped in the same cycle.
What really matters is focusing on the root cause. This means questioning the volume and understanding what is generating the problem.
<h2>SOC metrics: why measuring effort doesn’t solve the problem</h2>
Most SOCs measure effort, not the problem. Counting how many alerts were handled does not address the root issue. To evolve, metrics must help explain how the system behaves.
A clear example is the percentage of false positives. If 90% of alerts are irrelevant, the issue is not operational capacity, but detection quality.
Another critical factor is false negatives, meaning what was not detected. That is where the real risk lies.
<h2>How to move away from a reactive SOC and evolve in practice</h2>
Breaking out of this scenario doesn’t start with technology, but with the right question. Understanding why so many alerts are being generated is the first step toward any consistent evolution. In many cases, the root causes lie in poorly configured rules, lack of context, limited understanding of the environment, or low-quality detection processes.
In practice, evolution begins by improving what already exists. Automating initial triage helps reduce repetitive tasks and frees up team time. However, this only works when the process itself makes sense. Improving detection processes is even more important, as that is where the problem usually originates. Automating a flawed process only accelerates the error.
Some simple improvements can have a significant impact. Using metrics intelligently helps quickly identify structural bottlenecks.
A more consistent way to approach this is by using maturity models such as SOC-CMM. This type of framework helps put the SOC under pressure, forcing a more honest assessment of where the operation truly stands in terms of capability.
Instead of focusing only on volume or effort, <a href="https://it-eam.com/en/blog/regulations/soc-cmm-and-compliance-how-to-ensure-a-soc-meets-information-security-regulations">SOC-CMM shifts the analysis toward process evolution</a>, highlighting gaps, inconsistencies, and areas for improvement. As a result, metrics move beyond operational indicators and begin to guide structural decisions, continuously driving SOC maturity.
A deep understanding of the environment significantly reduces false positives and improves decision-making. Automating atomic rules, those that are simple and repetitive, increases consistency and reduces manual effort. In addition, maintaining a weekly pattern analysis fundamentally changes how the SOC operates, enabling the identification of trends, recurring behaviors, and structural weaknesses.
One of the most common mistakes when trying to evolve a SOC is adopting a generic approach. It’s not about improving everything at once, but about understanding exactly where the problem lies. This requires a deeper look at the detection process, including how alerts are generated, what decisions need to be made, where noise exists, and where context is missing. In most cases, the problem is not the lack of detection, but its poor quality.
<h2>From operational to strategic SOC</h2>
In the end, the SOC is not failing because there are too many alerts, but because it is trying to solve the problem the wrong way. More tools, more alerts, and more effort are not the answer.
Real change happens when there is a shift in mindset. It means moving from volume to quality, from reaction to understanding, and from symptoms to root cause. That is what transforms an operational SOC into a strategic SOC.
Less alerts, more intelligence.
<a href="https://blog.it-eam.com/wp-content/uploads/2026/04/2_Capa-de-Autoria_ENG-scaled.png"><img decoding="async" class="alignnone size-medium wp-image-7974" src="https://blog.it-eam.com/wp-content/uploads/2026/04/2_Capa-de-Autoria_ENG-300x82.png" alt="João Sena, SOC Governance Leader at iT.eam, author of the article on reactive SOC and the evolution of security operations" width="300" height="82" srcset="https://blog.it-eam.com/wp-content/uploads/2026/04/2_Capa-de-Autoria_ENG-300x82.png 300w, https://blog.it-eam.com/wp-content/uploads/2026/04/2_Capa-de-Autoria_ENG-1024x281.png 1024w, https://blog.it-eam.com/wp-content/uploads/2026/04/2_Capa-de-Autoria_ENG-768x210.png 768w, https://blog.it-eam.com/wp-content/uploads/2026/04/2_Capa-de-Autoria_ENG-1536x421.png 1536w, https://blog.it-eam.com/wp-content/uploads/2026/04/2_Capa-de-Autoria_ENG-2048x561.png 2048w, https://blog.it-eam.com/wp-content/uploads/2026/04/2_Capa-de-Autoria_ENG-scaled.png 1920w" sizes="(max-width: 300px) 100vw, 300px" /></a>

Understand why many SOCs operate reactively, driven by alerts and volume, and how to evolve toward a more strategic, risk-driven approach.

ED-SOC_capa_red

The analyst arrives at work, opens the SIEM, and finds 1,000 alerts in the queue. The inevitable question arises: which one could take the company down today? As triage begins, new alerts keep coming in, and the queue doesn’t shrink. By the end of the shift, hundreds of events remain unanalyzed. This is not an [&hellip;]

Why your SOC is always firefighting and how to change that