Security teams are in a difficult position: they continue wrestling with persistent problems, such as overwhelming alert volumes and staff shortages, while confronting new ones driven by the abrupt shift to remote work. For instance, attaining real-time, deep visibility into cloud environments may have been on SOC roadmaps before 2020, but the capability is now a pressing need.

When you take a close look at the Continuous Diagnostics and Mitigation (CDM) function at the heart of a successful cybersecurity program, you quickly realize that it all depends on integration. It isn’t that the individual components of the program aren’t absolutely essential. But with cyber-attacks gaining in number and sophistication, the true power of CDM is in the ability to overlay multiple datasets to create a single lens for tracking, assessing, and responding to threats.

Problem: If there are thousands of employees scattered around hundreds of places, how do you keep your organization’s network safe? Solution: You should monitor your employees wherever they’re located, and devise a standard baseline of their behavior through machine learning techniques. By using that information, you can identify anomalies and protect your network from cyberattacks.

If you’re running containers and Kubernetes on IBM Cloud, you can now enable the key security workflows of Sysdig Secure as a service within your IBM Cloud deployments. This makes it easier for you to implement security tools and policies to ensure your containers and your Kubernetes environment are protected and running as intended. The new container and Kubernetes security features are integrated into IBM Cloud Monitoring with Sysdig and offered as an additional service plan.