Threat Analysis Platform for Automated Attack Chain Investigation
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Solution Overview
Problem
Existing IT environments face inefficiencies and inconsistencies in analyzing security threats, particularly due to the time-consuming and ad hoc nature of manual threat analysis processes, which can lead to improper or missed threat detection, especially with evolving and sophisticated attack methods.
Innovation Solution
A software-based threat analysis platform with dedicated engines that automate various security analysis actions, including navigating URLs, analyzing documents and files, and emulating embedded code, providing web-based interfaces and APIs for efficient and accurate threat investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual threat analysis processes are used, then security analysts can investigate threats, but the process is time-consuming and inconsistent leading to improper or missed threat detection
Solution Approach 1:
The threat analysis process is segmented into distinct automated actions including URL navigation, document analysis, file scanning, and code emulation. Each segmentation handles a specific aspect of threat investigation, allowing parallel processing and eliminating manual inconsistencies while maintaining comprehensive coverage of threat vectors.
Solution Approach 2:
The system enables self-service threat analysis through automated investigative actions that independently navigate URLs, analyze documents, scan files, and emulate code without human intervention. The automated threat analysis platform performs comprehensive investigations autonomously, eliminating dependency on manual analyst actions while improving consistency and speed.
2Productivity
If automated analysis engines are deployed, then threat analysis efficiency improves, but system complexity increases
Solution Approach 1:
The automated threat analysis platform implements multi-functional analysis engines that can navigate URLs, analyze various document formats, scan different file types, and emulate embedded codes. This universal approach consolidates multiple specialized tools into a single platform, improving productivity while managing complexity through integrated architecture rather than separate systems.
Solution Approach 2:
The system introduces an intermediary automated threat analysis platform that mediates between detected threats and security analysts. This intermediary layer handles complex investigative actions automatically, simplifying the interface for analysts while managing the underlying complexity of multiple analysis engines and coordination logic.
3Reliability
If comprehensive threat investigation is performed, then detection accuracy improves, but resource consumption increases
Solution Approach 1:
The system applies partial action by selectively executing investigative actions based on threat indicators and risk levels. Not all threats receive the full suite of investigative actions; instead, the system tailors the depth of analysis to the specific threat context, maintaining high reliability for critical threats while reducing resource consumption for lower-priority incidents.
Data Source
AI summary
Techniques are described for providing a threat analysis platform capable of automating actions performed to analyze security-related threats affecting IT environments. Users or applications can submit objects (e.g., URLs, files, etc.) for analysis by the threat analysis platform. Once submitted, the threat analysis platform routes the objects to dedicated engines that can perform static and dynamic analysis processes to determine a likelihood that an object is associated with malicious activity such as phishing attacks, malware, or other types of security threats. The automated actions performed by the threat analysis platform can include, for example, navigating to submitted URLs and recording activity related to accessing the corresponding resource, analyzing files and documents by extracting text and metadata, extracting and emulating execution of embedded macro source code, performing optical character recognition (OCR) and other types of image analysis, submitting objects to third-party security services for analysis, among many other possible actions.