{"id":11488,"date":"2026-06-25T08:05:25","date_gmt":"2026-06-25T08:05:25","guid":{"rendered":"https:\/\/www.binaryconfidence.com\/?p=11488"},"modified":"2026-06-26T07:39:20","modified_gmt":"2026-06-26T07:39:20","slug":"siem-continuous-tuning-detection-engineering","status":"publish","type":"post","link":"https:\/\/www.binaryconfidence.com\/en\/siem-nestaci-zapnut-ladenie-pravidiel\/","title":{"rendered":"Have you bought an expensive SIEM? Without expert configuration, it can make your cybersecurity worse"},"content":{"rendered":"

Security Information and Event Management system (SIEM) watches your network 24 hours a day and evaluates suspicious activity. Once deployed, the security team often feels that it finally has a comprehensive view of what is happening across the company. This is where one of the most common misunderstandings in security monitoring begins. A SIEM is a tool that, much like your network, constantly evolves. If you do not take care of it, an expensive technology can quickly become a reason why your overall security posture deteriorates.<\/em><\/p>\n

A SIEM is like a \u201cbig brother\u201d that looks at your network every day and evaluates whether something is happening that is not quite right. User X repeatedly entered the wrong password? Administrator Y is doing something unusual at three in the morning? Employee Z is in a part of the network where they have no business being? A SIEM observes and evaluates these events. If it considers an event suspicious, it creates an alert and sends it to a human analyst.<\/p>\n

The problem is that a security tool may see an IP address, a port, a user, or repeated logins, but that does not automatically mean it understands the situation. \u201cMany people expect that they will install a SIEM, turn on the rules provided by the vendor, and that is it. But a good SIEM requires constant work and is a continuous process. It is not something you set up once and then consider finished,\u201d<\/em> explains Radovan Andr\u00e1\u0161<\/a>, Security Analyst at Binary Confidence.<\/p>\n

An out-of-the-box SIEM floods your team with false alerts<\/h3>\n

Every company environment has its own specifics. Different servers, cloud services, user accounts, working habits, and exceptions. What is suspicious in one company may be completely normal operations in another. That is why universal rules are never enough.<\/p>\n

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Security information and event management (SIEM) is watching your network 24\/7.<\/span><\/figcaption><\/figure>\n

After the initial launch, a SIEM may generate hundreds or even thousands of detections every day. Some of them may represent genuinely important security events, but a large portion is often just operational noise, such as failed logins, repeated system errors, expected communication between services, or changes caused by new technology.<\/p>\n

Radovan Andr\u00e1\u0161 points out that if a SIEM is simply turned on and no one pays attention to it, it may be only around 30% functional. \u201cIn a typical small to medium-sized company, thousands of detections can pop up every day, and someone has to deal with them.\u201d<\/p>\n

Around 50 alerts per analyst during an eight-hour shift is still a relatively manageable number. If the system generates a thousand detections per day, we are talking about a volume that would theoretically require dozens of analysts in your company. And that still says nothing about the quality of decision-making.<\/p>\n

Read how we at Binary Confidence can eliminate most alerts.<\/a><\/p>\n

\u201cThe more false positives there are, the higher the chance that an analyst will burn out. They have to do a lot of unnecessary work, which leaves them with less time, motivation, and energy for alerts that may actually indicate a real problem,\u201d<\/em> explains Radovan Andr\u00e1\u0161.<\/p>\n

A well-tuned SIEM<\/a> therefore does not simply produce more detection, but better detection. Instead of thousands of isolated alerts, it helps connect events into meaningful context and reduce noise to a level the team can realistically process.<\/p>\n

An effective SIEM needs context and analyst care:<\/h3>\n

1. Context<\/h4>\n

The biggest difference between functional and dysfunctional monitoring lies in context. If we set machines aside for a moment, even the security analyst needs to know what is normal in the company in order to recognize what is not. Standard sources that help identify your company\u2019s context include:<\/p>\n