Policy-Based Distributed Packet Capture for Cloud Visibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing packet capture methods are inadequate for distributed networks, particularly in 'work from anywhere' environments, as they struggle with decentralized infrastructure and technologies like MACsec, which complicate packet capture, especially for end-user traffic flows destined to SaaS or IaaS destinations.
Innovation Solution
A policy-based distributed packet capture system that collects packet capture data at multiple capture points across cloud environments, retains it in packet capture caches, and sends it to a packet store associated with a tenant, with analysis and actions triggered by preconfigured policies and telemetry from cloud security systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If packet capture is performed in a centralized manner around application hosting or data centers, then packet capture coverage can be maintained for traditional infrastructure, but it fails to solve issues in distributed networks and cannot capture end-user traffic flows destined to SaaS or IaaS destinations from outside centralized offices
Solution Approach 1:
The patent segments the centralized packet capture function into distributed capture agents deployed at multiple locations including end-user devices, branch offices, and cloud environments. Each agent independently captures packets locally, and results are aggregated centrally, enabling coverage of distributed networks while maintaining manageable infrastructure through modular deployment
Solution Approach 2:
The patent introduces packet brokers as intermediary components that facilitate communication between distributed capture agents and the central management system. These brokers aggregate, filter, and forward packet data, reducing the direct complexity burden on the central system while enabling comprehensive distributed capture coverage
2Adaptability or versatility
If packet capture is configured statically to define particular types of traffic to capture and store, then configuration simplicity is maintained, but it cannot adapt to dynamic network demands and changing security requirements
Solution Approach 1:
The patent implements dynamic packet capture configuration where capture policies are no longer static but adapt automatically based on network conditions, security threats, and business requirements. The system dynamically adjusts capture parameters such as traffic types, time windows, and priority levels, enabling adaptability to changing demands while the centralized policy management maintains operational simplicity through automated rule engines
Solution Approach 2:
The patent incorporates feedback mechanisms where captured packet data and security event information are continuously analyzed, and results feed back into policy adjustment. The system learns from captured traffic patterns and security incidents, automatically refining capture configurations to prioritize relevant traffic while maintaining ease of operation through centralized policy templates that simplify the feedback loop for operators
3Loss of information
If packet capture data is retained at distributed capture points, then data availability for analysis is improved, but storage requirements increase significantly
Solution Approach 1:
The patent extracts only the essential and relevant packet capture data for retention at distributed points, filtering out redundant information before local storage. Critical data such as security-relevant packets, metadata, and aggregated statistics are retained locally for immediate availability, while less critical data is either discarded or transmitted to central storage, reducing overall storage requirements while maintaining data availability for analysis
Solution Approach 2:
The patent implements local quality optimization where the amount and type of data retained at each distributed capture point is customized based on local requirements, network traffic characteristics, and security priorities. High-value data is retained locally with higher quality, while lower-priority data uses reduced storage, optimizing the balance between data availability and storage requirements across the distributed system
Data Source
AI summary
Systems and methods for policy-based distributed packet capture include collecting, at one or more capture points distributed across one or more cloud environments, packet capture data; retaining the packet capture data at one or more packet capture caches associated with the one or more capture points; sending the packet capture data to a packet store associated with a tenant of a cloud-based system. The collecting can be based on preconfigured policy, dictating what specific data is captured at the one or more capture points.