Cloud Traffic Rule Consolidation for Dynamic Micro-Segmentation

The patent introduces a traffic controller as an intermediary component that sits between network traffic and cloud machines. This controller monitors traffic patterns, analyzes data logs, and dynamically generates security rules without requiring fundamental changes to the virtual machine infrastructure. The traffic controller mediates security enforcement by intercepting and filtering traffic based on generated rules, thus improving security effectiveness while maintaining manageable system complexity through a dedicated intermediary layer

The system implements self-service security by automatically monitoring traffic patterns, analyzing data logs, and dynamically generating security rules without requiring manual configuration or intervention. The traffic controller autonomously learns from observed traffic behavior and adapts security policies in real-time, enabling the cloud network to self-protect against threats while reducing the complexity of manual security management

The patent implements dynamic security rules that automatically adapt to changing traffic patterns and threats. The traffic controller continuously monitors network traffic, analyzes data logs in real-time, and dynamically generates or modifies security rules based on observed behavior. This dynamic approach allows the system to respond to emerging threats while maintaining rule accuracy through continuous validation against actual traffic patterns, resolving the contradiction between adaptability and precision

The system incorporates feedback mechanisms where the traffic controller continuously monitors traffic patterns and uses this information to refine and adjust security rules. By analyzing the effectiveness of generated rules and observing actual traffic behavior, the system provides feedback loops that improve rule accuracy over time while maintaining high adaptability to new threats. This feedback-driven approach ensures that dynamic rule generation does not compromise measurement precision

The patent extracts and focuses monitoring efforts on the most critical traffic patterns and data logs that provide the highest security value. Rather than uniformly monitoring all traffic, the traffic controller identifies and prioritizes analysis of traffic that exhibits suspicious patterns or matches known threat signatures. This selective extraction of critical monitoring targets improves security coverage by concentrating resources on high-risk areas while reducing overall processing overhead by ignoring low-risk traffic

The system applies different levels of monitoring intensity to different traffic flows based on their risk profiles. High-risk traffic receives comprehensive analysis and strict rule enforcement, while low-risk traffic receives minimal processing. This local quality approach ensures that processing overhead is optimized by allocating computational resources proportionally to security needs, improving overall security coverage without uniformly increasing processing demands across all traffic