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In this talk we will introduce how KubeHound, an opinionated, scalable, offensive-minded Kubernetes attack graph tool used by security teams across Datadog, can help you pinpoint the most critical attack within your Kubernetes cluster. Single point security findings have little traction either for an attacker or defender. So we will demonstrate how KubeHound being a queryable, graph database of attack paths makes reasoning about security problems via data-driven testing of hypotheses extremely efficient. Live demos of KubeHound will be performed during the talk.
At the end of the talk, we will leave you with an open-source tool designed to be run from a laptop to evaluate the attack paths within a single cluster from an attacker or defender point of view. Finally, we will discuss the approach and challenges of implementing a distributed, large-scale version of the tool at Datadog and how you might implement a similar solution in your own environment.
