Security Device Automates Suspect Object Extraction
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Solution Overview
Problem
Current security systems require significant resources to detect and test suspect objects on client devices for malicious activity, which can be time-consuming and costly, and may not efficiently prevent the spread of malicious files within a customer network.
Innovation Solution
A security device detects suspicious activity on client devices, automatically obtains and tests suspect objects using a remote management interface, filters known non-malicious objects, and determines whether the suspect objects are malicious, thereby reducing administrative resources and improving network security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security systems manually detect and test suspect objects on client devices, then detection accuracy can be maintained, but significant administrative resources and time are required
Solution Approach 1:
The system enables client devices to automatically detect and report their own suspect objects to the security server. The client device performs self-diagnosis by monitoring its own operations and automatically transmitting suspicious objects for analysis, eliminating the need for manual administrative intervention while maintaining detection accuracy through automated resource acquisition and analysis processes.
2Measurement precision
If security systems manually obtain and test suspect objects, then thorough analysis can be performed, but the process becomes time-consuming and delays threat response
Solution Approach 1:
The system performs preliminary actions by automatically acquiring suspect objects from client devices and initiating analysis processes immediately upon detection of suspicious activity. The security server proactively retrieves objects before they can spread further, and parallel analysis processes are launched simultaneously, ensuring both thorough examination and rapid response without sequential delays.
Solution Approach 2:
The system accelerates the security analysis process by implementing automated parallel processing of multiple suspect objects simultaneously. Multiple analysis operations run concurrently on the security server, allowing rapid throughput of numerous objects without the time-consuming sequential handling that would otherwise be required, thus rushing through the analysis phase while maintaining thoroughness.
3Reliability
If comprehensive testing of all suspect objects is performed, then all malicious threats can be identified, but the resource cost and complexity increase significantly
Solution Approach 1:
The system extracts only the essential suspect objects that are most likely to be malicious, rather than analyzing every single file on client devices. The automated resource acquisition process selectively retrieves objects based on suspicion criteria, and the analysis phase focuses computational resources on these extracted candidates, maintaining complete threat identification while reducing overall system complexity and resource requirements.
4Ease of operation
If manual security monitoring is implemented, then control over security operations can be maintained, but the ease of operation and automation level decrease
Solution Approach 1:
The system implements automated feedback loops where the security server receives analysis results from suspect objects and automatically transmits remediation instructions back to client devices. This closed-loop feedback mechanism maintains high automation levels by eliminating manual intervention in the control cycle, while administrators retain oversight through the ability to monitor and configure the automated processes, thus achieving ease of operation without complete loss of manual control capability.
Data Source
AI summary
A device may detect a suspicious activity. The device may automatically obtain a suspect object from a client device that is associated with the suspicious activity and based on detecting the suspicious activity. The suspect object may be an object that is possibly associated with the suspicious activity. The device may determine that the suspect object is malicious. The device may perform an action based on determining that the suspect object is malicious.