Hybrid IT Detection Gap Analysis Through Simulated Attacks
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Solution Overview
Problem
Existing SIEM systems fail to effectively analyze the protective functions of devices in hybrid IT operating environments, leading to undetected security vulnerabilities and high false positive rates, especially in dynamic and evolving IT landscapes.
Innovation Solution
A system and method that proactively exposes the hybrid IT environment to simulated attacks using varied attack files and codes, analyzing device responses to identify and address detection gaps, utilizing an analysis unit, allocation means, and detection means to evaluate the effectiveness of protective functions and SIEM detection capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional SIEM systems are used to monitor security events, then event monitoring and categorization can be performed, but detection accuracy deteriorates due to high false positive rates and inability to analyze protective functions
Solution Approach 1:
The system performs preliminary testing by executing attack files and codes against devices before actual security incidents occur. This proactive approach allows the system to pre-identify detection gaps and protective function failures, improving detection accuracy by preparing detection rules in advance rather than reacting to events after they occur.
Solution Approach 2:
The system implements feedback mechanisms where detection results from attack simulations are fed back into the SIEM configuration process. The analysis unit evaluates device responses to attacks and uses this feedback to refine detection rules, thereby reducing false positives and improving overall detection accuracy through continuous learning and adjustment.
2Speed
If SIEM systems monitor security events continuously, then real-time response capability is maintained, but the system complexity increases due to dynamic IT landscapes and evolving threats
Solution Approach 1:
The system segments the security monitoring function into distinct components: attack units that execute specific attack scenarios, detection means that monitor device responses, and analysis units that evaluate detection gaps. This segmentation allows each component to specialize in specific aspects of security monitoring, reducing overall system complexity while maintaining rapid response capability.
Solution Approach 2:
By conducting attack simulations and detecting gaps in advance, the system prepares detection rules and configurations before actual threats materialize. This preliminary action reduces the complexity of real-time response by pre-establishing detection frameworks, allowing faster response when actual security incidents occur without requiring complex real-time analysis.
3Reliability
If protective functions of devices are not analyzed, then device operation remains simple, but security vulnerabilities remain undetected in hybrid IT environments
Solution Approach 1:
The system introduces an intermediary analysis unit that acts as a mediator between attack execution and security evaluation. This intermediary component systematically analyzes device responses to attacks, evaluating protective functions without requiring direct complex integration with all device systems. The analysis unit serves as a buffer that simplifies the overall architecture while maintaining comprehensive security assessment capability.
Data Source
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AI summary
The present invention relates to a system (1) for determining IT security-relevant detection gaps in an IT operating environment (2), at least comprising an analysis unit (4), an attack unit (6) for providing a plurality of mutually different attack files (8) and/or attack codes (10) for modifying the functionality of a plurality of devices (12) in the IT operating environment (2), wherein the plurality of devices (12) belong to one device type (14) and/or different device types (14.1 to 14.n), a plurality of allocation means (18) for identifying and/or addressing the plurality of devices (12), wherein each of the plurality of devices (12) is identifiable and/or addressable by at least one allocation means (18), in particular by a respective allocation means (18), for receiving the attack file (8) and/or the attack code (10), and a plurality of detection means (20).