Palo Alto Networks Announces Second Generation Of Checkov

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  • Checkov 2.0 includes over 200 new policies and a Dockerfile scanner that help ensure container images are built securely, without misconfigurations
  • Checkov is built on a graph-based model that provides an entirely new way of modeling configuration risk in cloud native software composition

Palo Alto Networks has announced the second generation of Checkov, the market-leading static analysis tool for infrastructure as code (IaC). The open-source project was created by Bridgecrew, which was acquired by Palo Alto Networks in March 2021. With Checkov 2.0, developers can now scan for cloud misconfigurations in environments with complex dependencies across resources and modules. Checkov 2.0 includes over 200 new policies and a Dockerfile scanner that help ensure container images are built securely, without misconfigurations.

Matt Johnson, Bridgecrew developer advocate lead at Palo Alto Networks said, “This release is the most significant update to Checkov since it launched in 2019. Dependency awareness means developers have even more context earlier in the development lifecycle, helping companies around the world better secure their cloud infrastructure.”

New way of modeling configuration risk in cloud native software composition

According to a recent survey produced by Secure Code Warrior, 70 per cent of organisations recognise the importance of secure coding practices, indicating an industry-wide shift from reaction to prevention and an embrace of DevSecOps. Unlike other static code analysis tools that rely on interim ad hoc modeling, Checkov is built on a graph-based model that provides an entirely new way of modeling configuration risk in cloud native software composition. That context awareness ensures more relevant and reliable scan results, making it easier for developers to prioritise and understand the impact of identified misconfigurations.

Rob Eden, a Checkov contributor said, “Policies that take into account interdependencies within IaC are critical to understanding the impact of misconfigurations. It’s not enough to know that a security group has ports open to the world; we need to know if that misconfiguration is in production or just a test environment in order to prioritize it appropriately. It’s awesome to have an open-source tool providing that level of context.”

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