Cloud Security Policy Automation for Faster Threat Response
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Solution Overview
Problem
Existing cloud-based security systems face delays in responding to new security attacks due to manual intervention in creating and propagating security policies, leading to inefficiencies in defense mechanisms.
Innovation Solution
Implementing a security management automation system that utilizes machine learning to analyze real-time monitoring data from virtual machines and network switches, automatically updating security policies and applying intent-based networking to respond to security attacks through an Interface to Network Security Functions (I2NSF) framework, utilizing a decentralized audit system and blockchain technology for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual creation and propagation of security policies is used, then security policy implementation is achieved, but response time to new security attacks is delayed
Solution Approach 1:
The system enables self-service automation where the security management system automatically creates, translates, and propagates security policies without manual intervention. The automated policy translation system receives high-level security policies, translates them into low-level policies, and distributes them to network security functions automatically, eliminating the need for manual security policy management while reducing response time to new threats.
Solution Approach 2:
The patent replaces the manual mechanical process of security policy creation and propagation with an automated computational system. The automated policy translation system uses computational algorithms to translate high-level security policies into low-level policies and distribute them across the network, substituting human operators with an automated information processing system that operates continuously without delay.
2Speed
If manual security policy management is used, then security control is maintained, but propagation speed of new security policies to other clouds is reduced
Solution Approach 1:
The system segments the security policy management process into distinct functional components: high-level policy definition, automated translation engine, and low-level policy distribution to network security functions. This segmentation allows each component to operate independently and efficiently, enabling rapid propagation of security policies across multiple clouds while maintaining proper control and validation at each stage.
Solution Approach 2:
The automated policy translation system acts as an intermediary between high-level security requirements and low-level network security function configurations. This intermediary component translates and adapts policies automatically, enabling fast propagation across different cloud environments while maintaining security control through the translation process.
3Productivity
If automated policy translation from high-level to low-level security policies is implemented, then response efficiency to security attacks is improved, but system complexity increases
Solution Approach 1:
The automated policy translation system is designed as a universal platform that can handle multiple types of security policies and translate them into various low-level formats suitable for different network security functions. This multi-functional approach consolidates what would otherwise require multiple separate systems, improving productivity while managing complexity through a unified translation engine.
Data Source
AI summary
A method of performing a security management automation in an Interface to Network Security Functions (I2NSF) system is disclosed. The method comprises receiving a high-level security policy via a consumer-facing interface; translating the high-level security policy into a low-level security policy based on an automatic mapping model; transmitting the low-level security policy to a network security function (NSF) via an NSF-facing interface, wherein the low-level security policy is applied to a system of the NSF; receiving monitoring data for a network security from the NSF; reconfiguring a security policy based on the monitoring data; and transmitting the reconfigured security policy to the NSF via the NSF-facing interface. The reconfigured security policy is updated to a system of the NSF.


