Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For many Security Operations Center (SOC) teams, every day feels like a balancing act just shy of burnout. The alerts don’t stop. The tooling gets in the way more than it helps. And analysts—the people at the heart of security operations—are left trying to untangle signals in a sea of noise, pressure, and constant escalation. This isn’t just a tooling issue. It’s a deeper misalignment: the gap between what SIEM was supposed to be and what security teams actually need.

Think back to being in high school and wanting to leave the room during class. Your teacher would give you a hall pass to show anyone monitoring the halls that you had permission to walk around. Your behavior, walking around during the class period, was suspect unless you followed the rule, getting a hall pass. For security teams, rule-based intrusion detections are the hall monitors that look for behaviors that indicate a problem.

If you have ever built a LEGO set, then you have a general idea of how telemetry works. Telemetry starts with individual data points, just like your LEGO build starts with a box of bricks. In complex IT environments, your security telemetry is spread across different technologies and monitoring tools, just like in a large build your LEGO bricks come separated into smaller, individually numbered bags. In both cases, the individual bricks or data points aren’t special.

Security teams often struggle to keep up with rapidly evolving threats, especially when they have to manually manage detection rules. Without automation or version control, it's difficult to maintain consistency across environments, track changes, or deploy updates quickly. Datadog Cloud SIEM supports detection as code, a structured approach to authoring, testing, deploying, and managing detection rules using code and infrastructure-as-code tools like Terraform.