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Prisma Cloud models the runtime behavior with a machine learning model to scale runtime defense in large and complex environments. Runtime defense provides both Predictive and threat-based active protection for running containers. Predictive protection capabilities include determining when a container runs a process that is not included in the original image or when it creates an unexpected network socket. Threat-based protection capabilities include detecting when malware is added to a container or when a container connects to a botnet.   Here, Custom rules provide an additional mechanism to protect running software. Custom rules are expressions which can be created based on your specific use-case and are stored in a central library, where they can be reused and can be added to your runtime policies at any time.
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How to install the Prisma Cloud Host Defender automatically using Host Auto-defend on AWS.   Host Auto-defend lets you automatically deploy Host Defenders on virtual machines in your AWS, Azure, and Google Cloud accounts. This covers AWS EC2 instances, Azure Virtual Machines, and GCP Compute Engine instances. In this document we will specifically reference Host Auto-defend for AWS EC2 instances.
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The Prisma Cloud product from Palo Alto Networks has a number of threat landscape views along with preventative tools to help mitigate the risks of a vulnerability, including zero-day vulnerabilities.   We will examine how Prisma Cloud can notify you of a CVE, what API calls can be used to find the resources affected by a CVE, and how to create a custom CVE to support zero-day vulnerabilities. This article will demonstrate how you as a security professional can get a better understanding around the threat landscape of your environment.  For purposes of example, we will use Log4J as our zero-day threat in this article.
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