October 12, 2017 | by Diane Mueller
The very nature of containers—their minimalistic, declarative, and immutable characteristics—provides an opportunity to automate and scale the protection of apps that run within them. In the old world of security, developers needed to manually tell security teams how their app worked and security teams needed to manually configure various tools, like firewalls, IDS/IPS, and vulnerability management suites, to protect them. Invariably, as the apps changed over time, the rules got out of sync and many organizations fell back to a basic, parameterized approach to security.
Today with containers, though, we can apply machine learning to automatically build a predictive runtime model for each unique version of every app you have, helping you improve your active threat protection and also to do so much more efficiently.
In this briefing, Twistlock's Michael Withrow discusses how Twistlock uses these fundamental container characteristics to block vulnerabilities, stop malicious behaviors, and filter app layer traffic to fundamentally change how organizations secure their apps in a cloud-native stack.
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