Unified Multi-Cloud Risk Ranking Platform
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Solution Overview
Problem
Managing multi-cloud environments is challenging due to the complexity of provisioning cloud services and obtaining a holistic view of security and compliance across hybrid and multi-cloud workloads, leading to difficulties in timely visibility and increased security risks.
Innovation Solution
A trust platform that provides a unified view of multi-cloud relative risk information by aggregating data from various monitoring tools across tenant and management environments, offering a single pane of glass for managing cloud assets and deploying security and compliance controls consistently across multiple cloud service providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple monitoring tools are deployed across tenant and management environments in multi-cloud setups, then comprehensive security coverage is improved, but system complexity and difficulty of management increase
Solution Approach 1:
The patent combines multiple monitoring tools and their data sources into a unified trust platform that aggregates security information from both tenant and management environments across multi-cloud deployments. This merging approach maintains comprehensive security coverage while reducing the operational complexity of managing disparate tools by providing a single integrated interface for security monitoring and risk assessment.
2Loss of information
If data is aggregated from multiple cloud service providers and environments, then holistic security visibility is improved, but data integration complexity increases
Solution Approach 1:
The trust platform serves as an intermediary layer between multiple cloud service providers and the security monitoring system. It standardizes data collection from diverse cloud environments and tools, transforming heterogeneous security data into a unified format that enables holistic visibility without requiring complex point-to-point integrations between each tool and environment.
3Productivity
If relative risk ranking is implemented across multi-cloud assets, then security prioritization is improved, but computational processing requirements increase
Solution Approach 1:
The system transforms complex multi-dimensional security data into a simplified relative risk ranking parameter that prioritizes assets based on their security posture. By changing the representation of security information from raw multi-parameter data to a standardized risk ranking metric, the system enables efficient security prioritization while reducing the computational burden of analyzing and comparing security states across numerous cloud assets.
Data Source
AI summary
An apparatus comprises a processing device configured to receive, at a user interface of a trust platform configured to manage cloud assets operating in clouds of two or more cloud service providers, a request to view multi-cloud relative risk information for at least a subset of the cloud assets on which workloads of a given entity run. The processing device is also configured to obtain, utilizing application programming interfaces of the trust platform, first and second sets of cloud asset risk data generated by first and second pluralities of monitoring tools operating in tenant and management environments of the clouds of the two or more cloud service providers. The processing device is further configured to generate and provide, at the user interface of the trust platform, a unified view of the multi-cloud relative risk information utilizing the first and second sets of cloud asset risk data.