Cloud Security Policy Orchestration for Multi-Cloud Deployment Risk
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Solution Overview
Problem
Enterprises face challenges in managing network security across multiple cloud platforms due to increased attack surfaces and misconfiguration errors, which are compounded in multi-cloud strategies, necessitating efficient security orchestration and management solutions.
Innovation Solution
A network security orchestration framework that provides cloud-independent security measures, enabling centralized management, policy versioning, and monitoring across different cloud providers, with automated analysis and deployment of security policies, and semantic intelligence for severity assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If enterprises adopt multi-cloud strategy to improve agility and flexibility, then customer fulfillment and geographical availability are enhanced, but attack surface and misconfiguration errors increase
Solution Approach 1:
The patent implements a universal security orchestration framework that works across multiple cloud providers (AWS, Azure, GCP, etc.) through a common architecture. The system translates cloud-specific security policies into a standardized internal representation, enabling single security policies to be enforced across diverse cloud infrastructures, thus reducing the attack surface while maintaining multi-cloud flexibility.
Solution Approach 2:
The security orchestration framework acts as an intermediary layer between cloud providers and enterprise security policies. It translates between cloud-specific policy formats and a unified internal representation, then generates appropriate cloud-specific configurations. This intermediary approach simplifies security management across multiple clouds while maintaining consistent security posture.
2Reliability
If enterprises implement security orchestration across multiple clouds to reduce misconfiguration errors, then security consistency is improved, but system complexity increases
Solution Approach 1:
The system segments security policy management into distinct modular components: policy input processing, cloud-agnostic internal representation, policy translation engines for different cloud providers, and deployment modules. This segmentation allows each component to be independently developed, tested, and maintained, reducing overall system complexity while ensuring security consistency across clouds.
Solution Approach 2:
The patent employs parameter changes by transforming security policies from cloud-specific parameter formats into a standardized internal representation with unified parameters. The system then maps these standardized parameters back to cloud-specific formats, enabling consistent security enforcement across different cloud providers while managing complexity through parameter standardization.
3Manufacturing precision
If manual security policy management is used to maintain control, then policy accuracy can be verified, but time delays in deploying new data centers increase
Solution Approach 1:
The system performs preliminary actions by automatically generating, validating, and preparing security policies before deployment. The orchestration framework pre-processes policies, checks for conflicts and misconfigurations, and validates syntax across different cloud formats before actual deployment occurs. This preliminary automated validation maintains policy accuracy while eliminating manual review time delays.
Solution Approach 2:
The patent replaces manual mechanical security policy management with automated computational systems. The orchestration framework uses algorithmic policy translation, automatic conflict detection, and machine-generated security configurations to maintain accuracy while dramatically reducing deployment time. The system substitutes human operators with automated validation engines that can verify policies across multiple clouds simultaneously.
Data Source
AI summary
Disclosed are examples of systems, apparatus, methods and computer program products for automation of network security policy analysis and deployment. A server system can obtain a system input comprising two versions of a policy output. The system can generate a severity characteristic that indicates a severity of deploying the second version of the policy output. The system can then determine whether to deploy the second version of the policy output based on the severity characteristic. The system can then, in response to determining that the second version of the policy output is to be deployed, deploy the second version of the policy output to one of a plurality of clouds.