Modern cloud applications are made up of thousands of distributed services and resources that support an equally large volume of concurrent requests. This level of scale makes it more challenging for engineers to identify system failures before they lead to costly outages. System failures are often difficult to predict in cloud environments, and security threats add another layer of complexity.

In Part 1 of this series, we talked about some challenges with building sufficient coverage for detecting security threats. We also discussed how telemetry sources like logs are invaluable for detecting potential threats to your environment because they provide crucial details about who is accessing service resources, why they are accessing them, and whether any changes have been made.

In the ever-changing world of cybersecurity, Security Operations Centers (SOCs) are responsible for building comprehensive threat detection strategies for their environments. A key indicator of success for any SOC team is their level of security coverage, which correlates with the breadth, depth, and accuracy of their threat detection tools and workflows.

Datadog Cloud SIEM helps customers protect their cloud environment and SaaS applications against threats with built-in threat detection rules, interactive dashboards, workflow blueprints, and in-depth support resources. These capabilities provide valuable insights into your security posture, so you can respond promptly to emerging threats. In order to generate these insights, Cloud SIEM analyzes log data, which users can start sending to Datadog by enabling one of our out-of-the-box integrations.