We have talked about how adding 'runtime context' to static security scans helps reduce alert fatigue and prioritizes security protection and remediation based on a risk framework. However, we haven't shared examples of runtime context that we use to achieve this. More 👇
Looking at North-South as well as East-West traffic is important, as well as being able to see encrypted as well as plain text traffic within the network. Teams can use this visibility to match emerging threats rulesets as well as modsecurity core rules.
Benefits of DPI in the cloud include:
Teams must be able to observe and correlate anomalous behavior across filesystems, process and system calls, as well as network traffic, security scans, SBOM, etc.
Benefits of correlation include:
Threat actor events in runtime should be mapped and correlated to various stages of the cyber kill chain. These threat actor TTPs allow organizations to understand how exactly a threat actor would move w/i the environment to execute a successful attack
Benefits of Behavioral Analysis include:
All of this additional 'runtime context' ultimately allows for the reduction of alert fatigue because it focuses on the continuous threats against a ☁️ cloud environment and is able to understand what is actively exploitable based on runtime context. See a 97% reduction in alerts with this.
If you want to learn more about how Deepfence's cloud-native application protection platform implements runtime context to help better your security posture, schedule a demo with Ryan Smith, our Head of Product.