Cloud Security Engine Templates for Faster Compliant Deployment
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Solution Overview
Problem
Organizations face challenges in securely and efficiently deploying and maintaining cloud-based infrastructure and software due to a lack of specialized resources, expertise, and complex tools, leading to vulnerabilities and data breaches.
Innovation Solution
A Cloud Security Engine (CSE) with decision intelligence provides pre-coded, pre-configured components and policies for secure cloud deployments, offering a drag-and-drop interface and automated guidance for designing, building, and managing secure cloud architectures across multiple platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations implement secure cloud infrastructure using traditional manual methods, then security compliance can be achieved, but deployment time and complexity increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-coding and pre-configuring security policies, architectures, and components before deployment. The system provides pre-built secure cloud infrastructure templates that have already undergone security validation, allowing organizations to deploy compliant infrastructure rapidly without manual security configuration during deployment.
Solution Approach 2:
The system uses copying by providing reusable pre-coded security policies and architecture templates that can be replicated across multiple cloud deployments. These standardized security configurations can be copied and adapted to different cloud environments, ensuring consistent security compliance without reinventing security controls for each deployment.
2Reliability
If organizations hire specialized security personnel to manage cloud infrastructure, then security expertise is available, but cost and resource requirements increase
Solution Approach 1:
The system enables self-service by embedding decision intelligence and automated guidance directly into the cloud deployment platform. The system automatically detects cloud infrastructure configurations, evaluates them against security policies, and provides guided remediation recommendations, allowing non-expert users to deploy secure cloud infrastructure without requiring specialized security personnel.
Solution Approach 2:
The patent replaces the mechanical system of human security experts manually reviewing and configuring cloud infrastructure with an automated intelligent system. The decision intelligence engine automatically analyzes cloud configurations, identifies security issues, and provides remediation guidance, substituting human expertise with automated AI-driven security assessment.
3Reliability
If organizations use complex security tools and workflows to ensure cloud security, then security coverage is comprehensive, but ease of operation decreases
Solution Approach 1:
The system acts as an intermediary between cloud infrastructure and security policies by providing a unified platform that automatically bridges the gap between cloud configurations and security requirements. The decision intelligence engine serves as a mediator that translates complex security policies into actionable guidance for cloud deployments, simplifying the interaction between security controls and cloud infrastructure.
Solution Approach 2:
The patent applies universality by creating a multi-functional security platform that combines cloud infrastructure detection, security policy evaluation, compliance assessment, and remediation guidance into a single integrated system. This universal platform handles multiple security functions simultaneously, eliminating the need for separate complex tools for each security task.
4Productivity
If organizations rapidly deploy cloud infrastructure to meet business demands, then productivity increases, but security vulnerabilities increase
Solution Approach 1:
The system implements feedback by continuously monitoring cloud infrastructure configurations and automatically evaluating them against security policies. The decision intelligence engine provides real-time feedback on security issues detected in rapidly deployed cloud resources, enabling organizations to maintain high deployment speeds while immediately identifying and remediating security vulnerabilities.
Data Source
AI summary
The systems and methods comprising a Cloud Security Engine with decision intelligence providing one or more pre-coded, pre-built, pre-configured, pre-tested, secure framework-compliant components; pre-defining one or more secure framework-compliant cloud architectures and comprised of pre-coded secure framework-compliant components; receiving user-configurable customizations; designing one or more cloud architectures using the said one or more provided components, or the components customized using the user-configurable customizations; simulating and testing a cloud environment model with a selected designed cloud architecture; collecting and maintaining context and risk information for the cloud environment autonomously, or from system owners, or users; automatically incorporating the secure configuration from the context and risk mapped pre-coded policies into the components and architectures for cloud environment at design, model, build, test, or deploy phase; allowing for requesting, approving and tracking exceptions based on the automatically incorporated secure configuration; deploying the selected, designed, secured cloud architecture in the cloud environment.