Remote Attack Surface Manager for Hybrid Work Security
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Solution Overview
Problem
The increasing shift towards hybrid and remote work models has complicated the management of an organization's network attack surface, as remote employees may connect to external networks with unknown public IP addresses, making it difficult to identify and mitigate security risks.
Innovation Solution
A remote attack surface manager periodically collects endpoint device metadata, including public IP addresses, from agents installed on organization-issued devices or network logs. It identifies connections to external networks and correlates this data with global probing information to assess security risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote employees connect to external networks via VPN, then secure access to organization resources is provided, but the attack surface becomes fluid and difficult to manage due to unknown external network IP addresses
Solution Approach 1:
The system performs preliminary actions by proactively collecting metadata about endpoint devices and their network connections before security incidents occur. It continuously monitors and identifies external network connections in advance, allowing the organization to prepare security responses before attacks manifest.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring network connections, identifying external networks, and providing real-time information about the attack surface. This feedback loop enables dynamic adjustment of security measures based on current connection states.
2Reliability
If continuous monitoring of remote connections is implemented, then security risks can be identified proactively, but system resources and operational complexity increase
Solution Approach 1:
The system extracts only the necessary metadata fields (public IP address, connection status, network information) from the full network traffic data. By focusing on specific key attributes rather than analyzing all network data, the system reduces processing overhead while maintaining effective security monitoring.
Solution Approach 2:
The system performs partial monitoring by collecting and analyzing only the essential metadata about endpoint connections rather than complete network traffic. This selective monitoring approach provides sufficient security insight while minimizing resource consumption.
Data Source
AI summary
Techniques for identifying and managing an organization's remote attack surface that account for the fluid nature of the remote attack surface are described. Data collected from organization-issued endpoint devices are obtained and analyzed to determine public IP addresses used by the endpoint devices. The devices connected to external networks (i.e., non-organization networks) at various time windows are identified by distinguishing between public IP addresses that are associated with the organization and those that are not. Data obtained from ongoing global probing of public IP addresses, which at least indicate software instances hosted on networks corresponding to the public IP address, are correlated with each public IP address determined to be associated with an external network to which an endpoint device has connected. From these data, any security risks that connections to external networks may pose to the organization's network can be identified.