Industry Example (QRadar)
QRadar Advisor:
Purpose: Empowers security analysts by automating repetitive SOC tasks, driving consistent investigations, and reducing dwell times, leading to increased analyst efficiency.
Automation:
Automates routine SOC tasks, allowing analysts to focus on critical investigation elements.
Ensures consistent and thorough investigations regardless of the time or day.
Key Features and Functions:
Consistent and Deeper Investigations:
Augments human intelligence to maintain consistency in investigations.
Helps analysts make quicker and more decisive incident escalations.
Root Cause Analysis:
Determines the root cause of incidents with confidence.
Maps incidents to the MITRE ATT&CK model to understand the attack chain.
Data Mining and Knowledge Discovery:
Gathers greater context about incidents by mining local data in QRadar.
Consults Watson for Cybersecurity to discover external knowledge and threats.
Combines structured data, critical security data, and unstructured security-related data from the Internet.
Incident Visualization:
Visualizes the progression of attacks, understanding the current state, and predicting potential next steps.
Validates threats and aligns incidents to the attack chain.
Linked Investigations:
Automatically links related investigations through connected observables.
Avoids duplication of effort and extends investigations beyond the initial offense.
Recommends escalations and additional tuning if needed.
IBM Security App Exchange:
Delivers the solution via the IBM Security App Exchange, making it easy to deploy and integrate.
Transforms security operations by unlocking comprehensive investigation insights.
QRadar Assistant:
Scans the local environment to assess readiness for fully leveraging QRadar Advisor with Watson.
Provides configuration and assessment recommendations based on best practices.
Benefits:
Increased Efficiency: Reduces the time spent on repetitive tasks, allowing analysts to focus on critical aspects of investigations.
Reduced Dwell Time: Faster and more decisive incident escalation leads to quicker resolution of threats.
Comprehensive Insights: Provides deep and thorough investigation insights by combining local and external data sources.
Enhanced Security Operations: Transforms security operations by leveraging AI-driven automation and deep learning.
Conclusion:
QRadar Advisor with Watson integrates AI with SIEM to enhance the effectiveness of security analysts.
It automates routine tasks, ensures consistency, and provides comprehensive insights, ultimately improving the overall security posture of an organization.
AI and Cybersecurity
Further AI and Cybersecurity research. Check out these articles about the affect on organization and jobs:
CISO Magazine: The Future of AI in Cybersecurity
ComputerWeekly.com CISOs turn to AI, detection, response and education
CIO.com (IDG Techtalk voices) AI, automation emerge as critical tools for cybersecurity
securityintelligence.com How AI Can Make Cybersecurity Jobs Less Stressful and More Fulfilling
These are just a few of the many articles on how AI is going to change the future of cybersecurity and the analyst's role.
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