Automated Cybersecurity Threat Testing and Detection
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Solution Overview
Problem
Current cybersecurity defense systems face challenges in promptly detecting and protecting against new methods of compromise, leading to a lag between threat development and security tool updates, resulting in increased pressure on Incident Response teams and alert fatigue for SOC analysts.
Innovation Solution
A network-based system and method for vulnerability and compromise detection (VCD) that uses a processor to receive indicators of compromise, generate validation tests, execute them in a simulation environment, analyze results, scan system logs, and determine network compromise, providing threat intelligence reports to enhance proactive threat assessment and response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If manual threat assessment and security tool updates are performed traditionally, then security tools can detect known threats, but there is a lag between threat development and tool updates, reducing detection speed
Solution Approach 1:
The system performs preliminary actions by proactively testing security controls against newly discovered threat indicators before they are widely deployed. The validation tests are executed in advance to identify vulnerabilities and update security tools ahead of time, eliminating the lag between threat development and detection capability updates.
Solution Approach 2:
The system implements feedback loops where threat intelligence data is continuously fed back into the validation testing process. Results from validation tests are used to automatically update security tools and adjust detection parameters, creating a rapid response cycle that accelerates detection speed without time lag.
2Reliability
If comprehensive security testing is performed manually, then thorough assessment can be achieved, but Incident Response teams experience increased pressure and SOC analysts face alert fatigue
Solution Approach 1:
The system performs self-service by automatically executing validation tests against security controls without requiring manual intervention from Incident Response teams. The automated process includes generating validation tests, executing them in simulation environments, analyzing results, and updating security tools, thereby maintaining thorough assessment while significantly reducing team workload and alert fatigue.
Solution Approach 2:
The system replaces manual mechanical processes with automated computational systems. Validation tests are generated and executed automatically through software processes rather than manual analysis, and results are processed through automated algorithms that identify failures and trigger updates without human intervention, thereby maintaining thoroughness while reducing operational burden.
3Reliability
If security controls are tested against new threat indicators, then proactive threat detection is improved, but system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the complex validation process into distinct modular components: threat indicator reception module, validation test generation module, simulation environment execution module, results analysis module, and security tool update module. Each component handles a specific function independently, making the overall complex system manageable and easier to implement while maintaining proactive detection capability.
Solution Approach 2:
The system introduces intermediary components including simulation environments that safely isolate validation tests from production systems, and automated result analysis services that bridge the gap between test execution and security tool updates. These intermediaries manage complexity by providing standardized interfaces and abstraction layers that simplify the integration of multiple functional components.
Data Source
AI summary
A system for analyzing networks for potential vulnerabilities to cyber-attacks configured to (i) receive a plurality of indicators of compromise associated with active threat actors; (ii) generate a plurality of validation tests to test for the plurality of indicators of compromise; (iii) execute the plurality of validation tests in a simulation environment to generate a plurality of results; (iv) analyze the plurality of results to detect one or more failed validation tests of the plurality of validation tests; (v) scan a plurality of system and/or security logs of the computer network for indicators of compromise associated with the one or more failed validation tests; (vi) determine whether the computer network is compromised based on the scan of the plurality of system and/or security logs; and (vii) report threat posture information about a computer network and systems as a form of threat intelligence.