Cloud-Native Router Detection of Exposed Private Endpoints
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Solution Overview
Problem
Modern cloud computing environments are complex and dynamic, creating blind spots in network exposure detection, with existing solutions failing to provide real-time, accurate inventory of exposures and often leading to alert fatigue or false confidence due to misconfigured services and lack of contextual understanding.
Innovation Solution
A system utilizing agentless inspection and active network path analysis to detect and remediate potential network exposures in cloud environments, including detecting proxy-type appliances and private endpoints, and initiating remediation actions based on inspection results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vulnerability scanners and firewalls are used, then basic security coverage is provided, but real-time accurate inventory of network exposures cannot be achieved and alert fatigue occurs
Solution Approach 1:
The patent introduces a cloud-native router as an intermediary component that sits between external networks and private endpoints. This router actively monitors and controls network traffic flows, providing continuous visibility into effective network exposures without requiring agents on every resource. The router mediates traffic inspection and enforcement, resolving the contradiction between detection accuracy and continuous monitoring reliability.
Solution Approach 2:
The system implements continuous feedback loops where the cloud-native router constantly monitors network traffic patterns, detects potential exposures, and dynamically adjusts routing policies. This feedback mechanism ensures real-time detection accuracy while maintaining continuous visibility into the security posture, preventing alert fatigue by only generating meaningful alerts.
2Loss of time
If static security assessments and scheduled scans are performed, then periodic security checks are conducted, but critical exposures remain undetected between scans
Solution Approach 1:
The cloud-native router implements continuous network path analysis and active inspection of private endpoints without interruption. Instead of periodic scans, the system maintains constant monitoring of network exposures, ensuring that critical vulnerabilities are detected immediately upon creation. This continuous action eliminates detection gaps while maintaining high accuracy through ongoing validation.
Solution Approach 2:
The system performs preliminary active inspection of network paths before exposures can be exploited. By proactively testing network connectivity and identifying open ports ahead of time, the system detects potential vulnerabilities before they become critical threats, reducing detection response time while maintaining accuracy through pre-emptive validation.
3Loss of information
If comprehensive network monitoring is implemented, then complete visibility of network exposures is achieved, but system complexity and resource requirements increase significantly
Solution Approach 1:
The patent extracts the complex monitoring functionality into a dedicated cloud-native router component, separating it from individual resources. This extraction consolidates network exposure detection, active inspection, and remediation coordination into a single specialized system, achieving complete network visibility without distributing complexity across the entire infrastructure.
Solution Approach 2:
The cloud-native router performs multiple functions simultaneously: it routes network traffic, monitors for exposures, conducts active inspections, and coordinates remediation actions. This multi-functionality achieves comprehensive network exposure visibility through a single versatile component rather than multiple specialized systems, reducing overall architectural complexity.
4Measurement precision
If misconfigured services and proxy appliances are not specifically identified, then general security monitoring is maintained, but contextual understanding of exposures is lacking leading to false confidence
Solution Approach 1:
The cloud-native router applies specialized inspection rules and contextual analysis specifically to proxy-type appliances and misconfigured services. Instead of uniform monitoring, the system identifies these critical components through their distinctive characteristics and applies targeted detection methods, achieving high contextual accuracy in identifying genuine security risks versus false positives.
Data Source
AI summary
A system and method for detecting effective exposure of private API endpoints in a cloud computing environment is presented. The method includes inspecting a resource in a cloud computing environment utilizing agentless inspection; detecting a cybersecurity object on the inspected resource, the cybersecurity object indicating that the resource is a proxy-type appliance; detecting a private endpoint in the cloud computing environment, wherein the resource is configured to access the private endpoint, and the resource is further configured to access an external network, and wherein the external network is external to the cloud computing environment; determining that the private endpoint is potentially exposed via a network path which includes at least the resource; actively inspecting the network path to determine that the private endpoint is exposed to the external network; and initiating a remediation action based on a result of the active inspection.