Multi-Cloud Event Mapping for Zero-Trust IP Resolution
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Solution Overview
Problem
Cloud environments face challenges in maintaining consistent network access and security due to dynamic IP addresses, which complicate access controls and secure communication, especially in multi-cloud setups where resources are frequently reassigned, leading to vulnerabilities and disruptions.
Innovation Solution
A method for zero-trust IP address resolution in cloud services, involving a cloud security platform that generates high-fidelity log information by mapping and synthesizing event data from multiple sources, using a cache to store and enrich log data with metadata, and implementing a firewall with dynamic IP address management to ensure secure and consistent network access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dynamic IP addresses are used in cloud environments, then scalability and flexibility are improved, but network access consistency and security control deteriorate
Solution Approach 1:
The patent introduces an intermediary mapping system that decouples the dynamic IP addressing from service identification. Instead of directly using IP addresses for service access and security policies, the system uses an intermediary mapping layer that translates dynamic IP addresses to stable service identifiers. This mapping system acts as a buffer that maintains consistent service access patterns even when underlying IP addresses change, thereby preserving network access consistency while allowing dynamic IP allocation.
2Adaptability or versatility
If dynamic IP addresses are used in cloud environments, then resource allocation flexibility is improved, but security control complexity increases
Solution Approach 1:
The patent creates a virtual copy or representation of the service access control mechanism. Instead of implementing complex dynamic security rules for each changing IP address, the system creates a static mapping table that copies the service identification logic into a lookup structure. This allows security controls to operate on stable service identifiers rather than dynamic IP addresses, significantly reducing security control complexity while maintaining resource allocation flexibility.
3Quantity of substance
If event data is collected from multiple cloud service providers, then comprehensive monitoring is improved, but data fidelity and consistency deteriorate
Solution Approach 1:
The patent applies homogeneity by standardizing event data from multiple heterogeneous cloud service providers into a unified format. The system creates a common event structure with consistent fields, data types, and naming conventions across all cloud providers. This standardization layer transforms diverse data sources into homogeneous data that can be reliably analyzed and correlated, thereby maintaining data fidelity while achieving comprehensive multi-cloud monitoring coverage.
Data Source
AI summary
Disclosed are systems, apparatuses, methods, and computer-readable media for high-fidelity event data for multi-cloud services. A method includes: storing first event information of a multi-cloud service in a cache, wherein the first event information is received from a first gateway controlled by the controller; storing second event information of the multi-cloud service in the cache, wherein the second event information is received from a first external service; mapping the second event information to the first event information to at least one identifier associated with the controller; and generating a first synthesized event information based on mapping the second event information to the first event information, the first synthesized event information including the at least one identifier, at least one event from the first event information, and at least one event from the second event information.