Universal IaC Templates for Secure Cloud Deployment Validation
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Solution Overview
Problem
Existing infrastructure as code (IaC) systems face challenges in automating cloud provisioning while ensuring security, as misconfigurations can expose cloud resources to cyberattacks, and existing solutions require language-specific policies, making them inflexible and prone to errors.
Innovation Solution
A method and system that transforms original infrastructure definitions into universal definitions using templates, allowing for cloud-agnostic and IaC-agnostic misconfiguration detection and validation, applying policies in a unified format to ensure secure deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If language-specific policies are used for misconfiguration detection, then detection accuracy for specific IaC languages is improved, but system flexibility and adaptability to different languages deteriorate
Solution Approach 1:
The patent implements a universal policy format that can be applied across multiple IaC languages (Terraform, CloudFormation, Pulumi, etc.) without requiring language-specific policy implementations. The standardized policy structure enables the same security rules to validate resources regardless of the originating IaC language, achieving both detection accuracy and cross-language adaptability
Solution Approach 2:
The patent introduces an intermediary layer that translates various IaC language formats into a standardized internal representation before applying policies. This mediator component decouples the policy enforcement logic from language-specific syntax, allowing accurate detection while supporting diverse IaC languages through a common intermediate format
2Reliability
If manual configuration review is performed to detect misconfigurations, then security accuracy is improved, but deployment time and productivity deteriorate
Solution Approach 1:
The patent applies misconfiguration detection policies during the IaC definition phase, before actual cloud resource provisioning occurs. By validating configurations in advance through automated policy checks, the system ensures security accuracy while enabling rapid deployment since issues are caught early in the development workflow rather than during or after deployment
Solution Approach 2:
The patent implements automated self-validation of IaC configurations through policy engines that automatically detect misconfigurations without requiring manual security review. This self-service approach maintains high security accuracy by continuously enforcing policies while significantly improving productivity by eliminating manual configuration review bottlenecks
3Reliability
If comprehensive misconfiguration checks are performed on all IaC files, then security coverage is improved, but processing time and complexity deteriorate
Solution Approach 1:
The patent segments the misconfiguration detection process into modular policy rules that can be independently applied to different resource types and configuration aspects. This segmentation allows comprehensive security coverage by covering all necessary checkpoints while reducing processing complexity through organized, reusable policy modules that can be selectively applied based on resource type
Data Source
AI summary
A system and method for securing deployment of computing infrastructure resources. A method includes identifying a first set of properties in original definitions of computing infrastructure resources, where each original definition is a definition of a respective computing infrastructure resource; mapping the first set of properties to a second set of properties of universal definition templates in order to determine a matching universal definition template for each original definition, where each of the universal definitions corresponds to a respective type of computing infrastructure resource and is defined in a unified format; transforming the original definitions into universal definitions using the universal definition templates, where transforming each original definition further includes inserting at least one of the first set of properties into the matching universal definition template for the original definition; and managing deployment of the computing infrastructure resources based on the universal definitions.