Attack Tree Security Monitoring for Automated Compliance Response
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Solution Overview
Problem
Conventional cybersecurity methods require manual operations for continuous maintenance, lack expertise, and are incomplete and ineffective in maintaining system security, especially in high-value military and civilian IT systems, making them vulnerable to cyber-attacks.
Innovation Solution
An analytic server implements an automated security compliance and monitoring tool that generates an attack tree model to detect cyber-attacks, calculates impact scores, and automatically responds to mitigate threats, ensuring continuous system compliance and reducing attack surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operations are used for continuous maintenance of system security, then users can monitor and update systems, but users lack expertise and cannot make effective system assessment and incident response decisions
Solution Approach 1:
The system performs self-assessment and self-monitoring through automated agents that continuously evaluate security compliance, detect vulnerabilities, and respond to threats without requiring manual user intervention. The automated security compliance system maintains security configurations and generates reports autonomously.
Solution Approach 2:
Manual mechanical operations of security monitoring and maintenance are replaced with an automated software-based system that uses agents, compliance rules, and automated response mechanisms to perform security assessments and incident response, eliminating the need for manual expertise.
2Reliability
If conventional cybersecurity methods are used, then some security monitoring is performed, but the methods are incomplete and time-consuming, requiring continuous manual operations
Solution Approach 1:
The system implements continuous security monitoring and compliance assessment through automated agents that operate continuously without interruption. The automated system performs ongoing security evaluations, vulnerability scans, and compliance checks without requiring periodic manual intervention, ensuring uninterrupted security protection.
Solution Approach 2:
Time-consuming manual security operations are completely replaced by an automated system that performs compliance assessments, vulnerability detection, and incident response automatically, eliminating the time loss associated with manual security maintenance.
3Reliability
If system configurations are updated and patched during system lifetime, then security vulnerabilities are addressed, but maintaining compliance becomes difficult and attack surfaces increase
Solution Approach 1:
The system implements continuous feedback loops where automated agents monitor configuration changes, assess compliance status, and automatically adjust security settings to maintain compliance. The system provides real-time feedback on compliance status and automatically responds to configuration drift, making compliance maintenance straightforward despite system updates.
Solution Approach 2:
The system dynamically adjusts security parameters and compliance configurations based on detected threats and system state changes. Automated agents modify security settings, update compliance rules, and reconfigure system parameters automatically in response to vulnerability patches and configuration changes, simplifying compliance maintenance during system evolution.
4Productivity
If automated security compliance is implemented, then system assessment and response are automated, but the system requires sophisticated monitoring and analysis capabilities
Solution Approach 1:
The automated security system is divided into separate functional agents, each responsible for specific tasks such as compliance monitoring, vulnerability assessment, threat detection, and incident response. This segmentation allows the complex monitoring system to be broken down into manageable, specialized components that work together to achieve automated security management.
Data Source
AI summary
Disclosed herein are embodiments of systems, methods, and products comprise an analytic server, which improves security of a system. The analytic server may monitor the system by retrieving status information from various devices within the system. The analytic server may generate an attack tree model based on a set of aggregation rules that are configured based on the monitored status information. The analytic server may detect one or more attacks by associating the status information with corresponding nodes of the attack tree model and executing a logic of the attack tree model. The analytic server may determine aggregated impact and risk metrics and calculate an impact score for each attack based on aggregated impact and risk metrics. The analytic server may generate reports comprising the one or more attacks ranked based on the impact scores. The analytic server may respond to one or more attacks by taking automated actions.