Cloud Katana

Unlocking Serverless Computing to Assess Security Controls

Azure Open Source Cloud Service Only
Category Security Assessment & Audit
Community Stars 249
Last Commit 1 year ago
Last page update 19 days ago
Pricing Details Free and open-source under MIT License
Target Audience Security researchers, cloud architects, and DevOps teams.

Cloud Katana addresses the complex challenge of assessing and validating security controls in multi-cloud and hybrid environments by leveraging serverless computing. Built on Azure Functions, this event-driven application automates the execution of simulation steps, significantly expediting the security research and assessment process.

The technical architecture of Cloud Katana relies on Azure's serverless infrastructure, allowing for scalable and on-demand resource allocation. This approach minimizes the overhead of managing traditional compute resources, enabling rapid deployment and execution of security simulations. The tool integrates with Azure services, utilizing Microsoft's authentication libraries and managed identities to ensure secure and authenticated interactions.

Operational considerations include the need for careful configuration to ensure proper event triggering and function execution. While the serverless model offers cost efficiency and scalability, it also introduces limitations such as cold start delays and potential function timeout issues. Additionally, as the tool is currently focused on Azure with plans to expand to other cloud providers, cross-cloud compatibility and consistency will be key operational challenges.

From a technical standpoint, Cloud Katana utilizes Azure Functions' sub-second invocation times and integrates with Microsoft Graph APIs for comprehensive security assessments. However, the tool's performance and cost efficiency can be impacted by the volume of simulations and the complexity of the security controls being assessed. For instance, high-frequency simulation runs can lead to increased costs due to Azure Function invocation charges, and complex simulations may require additional configuration to avoid function timeouts.

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