Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Security analysts face unprecedented challenges in today's cloud landscape. Security operations center (SOC) teams are chronically understaffed, and cybersecurity threats are skyrocketing—further intensified by GenAI-driven attacks. High false positive rates add to this strain, fueling alert fatigue and delaying the detection of real threats. These hurdles make it harder for analysts to keep pace, which ultimately drives up mean time to resolution (MTTR).

The traditional approach to managing security operations centers (SOCs) is straining the mental and physical reserves of even the most skilled security analysts—while also failing to provide the protection organizations need against today’s threats. Analysts are left to respond to a never-ending stream of alerts, resulting in an overwhelming, reactive cycle that stifles proactive investigation and threat hunting.

The decision to buy a Security Information and Event Management (SIEM) product or outsource to a Managed Detection and Response (MDR) depends on a number of factors, including the size of your organization, the complexity of your IT infrastructure, and your overall security needs. Before we get into the main discussion, let’s step back and define what we are talking about so everyone is on the same page.

Internet-facing assets are targeted for many reasons, such as to establish persistence, evade defensive capabilities, and access sensitive networks. According to the search engine Shodan, approximately 1,600 VMware vSphere instances are directly accessible via the internet, representing a significant attack surface.

Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications, abstracting many of the manual steps of rolling upgrades and scaling. When building cloud-native applications, you’ll often need to deploy database applications like PostgreSQL so that your applications can leverage their features within the cluster.