Automated Threat Response Framework for XDR Incident Resolution
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Solution Overview
Problem
Network security entities face inefficiencies and errors in handling thousands of security alerts, requiring repetitive manual steps that are time-consuming and prone to mistakes, due to the lack of automated threat response and remediation in extended detection and response (XDR) systems.
Innovation Solution
An automated threat response framework that emulates the steps of network security analysts, using an auto-analyst engine to automatically confirm or disapprove detection verdicts, reduce false positives, and provide concise reports on actions taken and recommended next steps, by ingesting network alert events from multiple telemetry sources and executing predefined actions through integrated APIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual playbook execution is used for each security alert, then analysts can review and determine resolution steps, but this leads to time-consuming processes and repetitive manual work
Solution Approach 1:
The system pre-configures playbooks with resolution steps and criteria before security alerts occur. When alerts are generated, the automated response engine automatically executes relevant playbooks based on alert characteristics, eliminating the need for manual review and determination of resolution steps for each individual alert.
Solution Approach 2:
The automated response system enables the security infrastructure to self-manage routine alert resolution without human intervention. The system autonomously executes playbooks, implements remediation actions, and updates incident status based on predefined rules and machine learning models, freeing analysts from repetitive manual tasks.
2Reliability
If manual analysis of security alerts is performed, then analysts can make informed decisions, but this requires significant human resources and leads to inefficiency
Solution Approach 1:
The system replaces the mechanical process of manual analyst review with an automated response engine that uses machine learning models, rule-based systems, and pre-configured playbooks to analyze security alerts and execute remediation actions, dramatically increasing throughput while maintaining response quality.
Solution Approach 2:
The automated response engine serves multiple functions simultaneously: it analyzes security alerts, determines appropriate responses, executes remediation actions, and updates incident status. This multi-functional system handles diverse security threats across multiple security products through a unified platform, improving both productivity and response quality.
3Reliability
If repetitive manual steps are taken for each security alert, then consistent resolution processes are followed, but this increases the risk of mistakes and reduces efficiency
Solution Approach 1:
The system automates the execution of consistent resolution procedures through pre-configured playbooks that encode standard operating procedures. The automated response engine reliably follows these procedures for every alert without human intervention, eliminating variability and mistake-prone manual steps while maintaining procedural consistency.
Solution Approach 2:
The system incorporates feedback mechanisms where the automated response engine continuously monitors alert characteristics, executes appropriate playbooks, and learns from outcomes to improve future responses. This feedback loop ensures consistent application of resolution procedures while adapting to new threat patterns and maintaining operational simplicity.
Data Source
AI summary
Techniques and architecture are described for automated threat response and remediation of incidents generated by single or multiple security products. The techniques and architecture provide a framework for automated threat response and remediation of incidents generated by single or multiple security products, especially for extended detection and response (XDR) systems. In particular, the techniques and architecture provide for an automated threat response that is handled by an auto-analyst engine emulating security analysts' steps during incident response and remediation. The automated threat response automatically confirms or disapproves of detection verdicts thereby reducing false positives that analysts usually have to deal with. If any actions are needed from a security analyst, a concise report of actions taken, gathered information and recommended next steps are provided by the automated threat response, significantly reducing the time and resources needed to resolve an incident.