ARMO Secure Kubernetes with Integration of ChatGPT
ARMO has announced that it has integrated ChatGPT’ s generative AI into ARMO Platform. ARMO also owned the opensource Kubernetes security platform Kubescape.
With ARMO Custom Controls powered by ChatGPT, users can quickly build custom controls based on Open Policy Agent (OPA) to solve their unique security needs. To explain on OPA – Open Policy Agent provides a standard for security policies, which can be constructed using the Rego declarative language.
They can then run them to ensure their Kubernetes clusters and CI/CD pipelines are secure, correctly configured, and compliant with security policies.
ARMO Custom Controls pre-trains ChatGPT with security and compliance Rego’s and additional context, utilizing and harnessing the power of AI to produce custom made controls requested via natural language.
The user gets the completed OPA rule produced by ChatGPT, as well as a natural language description of the rule and a suggested remediation to fix the failed control quickly, simply and with no need to learn a new language.
Users can then run the new AI-generated control locally to use it live and will soon be able to save and run it as an ARMO Platform custom control.
Custom controls can also be submitted as pull requests to Kubescape’s public regolibrary, contributing them to the community so that all Kubescape users can benefit from them.
This feature from the ARMO Lab will be enhanced and improved over time as more and more users adopt it.
More details are available in the link
Image Courtesy : Medium
1 thought on “ARMO Secure Kubernetes with Integration of ChatGPT”
This is a great.
Open Policy Agent is a standard for security policies, which can be constructed using the Rego declarative language. This makes it easy for users to create custom controls that meet their specific security needs.
Let me know if I missed the take aways.
Thank you again