Quarantine Enforcement Model Balances Security Coverage With Operational Continuity
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Solution Overview
Problem
Current security systems fail to effectively manage quarantines in large enterprise environments due to complex relationships between rules, leading to interruptions in critical services and inefficiencies in enforcing quarantine policies that do not consider operational considerations such as business criticality and demand.
Innovation Solution
A method and system utilizing a quarantine enforcement model trained with machine-learning to classify quarantine rules, which detects and deactivates inappropriate quarantine rules, balancing threat risk with operational considerations, thereby reducing the complexity of managing quarantines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If administrators create complex quarantine rules to take into account real-world considerations, then the security coverage is improved, but the device complexity and ease of operation deteriorate
Solution Approach 1:
The system automatically generates quarantine rules by analyzing network traffic patterns and threat indicators, eliminating the need for administrators to manually create complex rules. The automated rule generation engine processes security events and autonomously formulates appropriate quarantine actions, allowing the system to serve itself in rule creation while maintaining comprehensive security coverage.
Solution Approach 2:
The patent replaces the manual mechanical process of rule creation with an automated computational system. Machine learning algorithms and pattern recognition engines analyze network data to generate rules, substituting human administrative effort with intelligent automated processing that handles the complexity of rule formulation.
2Reliability
If administrators create complex quarantine rules to take into account real-world considerations, then the security coverage is improved, but the ease of operation and maintenance deteriorate
Solution Approach 1:
The system automatically generates quarantine rules by analyzing network traffic patterns and threat indicators, eliminating the need for administrators to manually create complex rules. The automated rule generation engine processes security events and autonomously formulates appropriate quarantine actions, allowing the system to serve itself in rule creation while maintaining comprehensive security coverage.
Solution Approach 2:
The patent replaces the manual mechanical process of rule creation with an automated computational system. Machine learning algorithms and pattern recognition engines analyze network data to generate rules, substituting human administrative effort with intelligent automated processing that handles the complexity of rule formulation.
3Reliability
If complex quarantine rules are enforced, then the threat protection is improved, but the productivity and loss of time worsen due to difficult administration
Solution Approach 1:
The system automatically generates quarantine rules by analyzing network traffic patterns and threat indicators, eliminating the need for administrators to manually create complex rules. The automated rule generation engine processes security events and autonomously formulates appropriate quarantine actions, allowing the system to serve itself in rule creation while maintaining comprehensive security coverage.
Solution Approach 2:
The patent replaces the manual mechanical process of rule creation with an automated computational system. Machine learning algorithms and pattern recognition engines analyze network data to generate rules, substituting human administrative effort with intelligent automated processing that handles the complexity of rule formulation.
4Device complexity
If quarantine rules are created without considering operational considerations, then the security enforcement is simplified, but the reliability deteriorates due to interruptions in critical services
Solution Approach 1:
The system applies different evaluation criteria to different quarantine rules based on their specific context. Critical services receive special consideration with additional validation checks and higher approval thresholds, while non-critical services follow standard quarantine procedures. This localized quality approach ensures that service continuity is maintained for critical infrastructure while still enforcing security measures.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor the impact of quarantine rules on network services. When a quarantine rule is applied, the system observes service performance and user impact, then adjusts or modifies rules that cause unacceptable disruptions to critical services, ensuring continuous improvement in service continuity while maintaining security.
Data Source
AI summary
A method for managing quarantines. A quarantine triggered by a network access policy is detected by a computer system. A determination is made by the computer system of whether to enforce a quarantine rule for the quarantine utilizing a quarantine enforcement model trained utilizing a machine-learning process to classify quarantine rules in response to detecting the quarantine rule. The quarantine is deactivated by the computer system when the quarantine rule is classified as inappropriate such that a risk of a threat is balanced with a group of operational considerations.