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Analyzing Log Data with AI Models
Analyzing Log Data with AI Models

Analyzing Log Data with AI Models

Release Date: 09/15/2025

Updated On: 09/16/2025

Logs are fundamental to Zero Trust. They capture critical details about user activity, device behavior, network traffic, and application access. However, when companies generate massive volumes of log data, manual review becomes unrealistic.

This publication explores how AI/ML can automate log analysis to deliver actionable insights. By leveraging AI models, organizations can enhance visibility, detect anomalies, reduce false positives, and quickly recognize complex attack patterns. Approaches include event correlation, predictive analytics, and federated learning. Together, these strategies help security teams improve detection and accelerate their response times to security threats.

Readers will also learn how to integrate AI-driven analytics with SIEM and SOAR platforms. They will review how to align log analysis with Zero Trust principles and how to overcome challenges like alert fatigue. Finally, readers get a summary of the business benefits, which range from more efficient operations to stronger GRC outcomes.

Key Takeaways:
  • Why logs are essential to Zero Trust visibility and decision-making
  • How AI models enhance pattern recognition, threat detection, and event correlation
  • Techniques for applying AI/ML to large-scale log data, including federated learning
  • Practical benefits for SOC efficiency, faster incident response, and compliance
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Acknowledgements

Erik Johnson
Erik Johnson
Cloud Security Specialist & Senior Research Analyst, CSA

Erik Johnson

Cloud Security Specialist & Senior Research Analyst, CSA

Worked for the Federal Reserve for many years and volunteered with the CSA with a focus on CCM/CAIQ V4, specifically the STA domain, and developing a comprehensive framework and guidance for defining and managing the cloud shared security responsibility model (SSRM).

I recently retired from the Federal Reserve and am now consulting with the CSA as a Senior Research Analyst with a focus on Zero Trust and Financial Services.

Linke...

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Michael Roza
Michael Roza
Risk, Audit, Control and Compliance Professional at EVC

Michael Roza

Risk, Audit, Control and Compliance Professional at EVC

Michael Roza is a seasoned risk, audit, control and compliance, and cybersecurity professional with over 20 years of experience across multinational enterprises and startups. As a Cloud Security Alliance (CSA) Research member for over 10 years, he has led and contributed to more than 140 CSA projects spanning Zero Trust, AI, IoT, Top Threats, DecSecOps, Cloud Key Management, Cloud Control Matrix, and many others.

He has co-chaired...

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Shamik Kacker Headshot Missing
Shamik Kacker

Shamik Kacker

Shruti Kulkarni
Shruti Kulkarni
Information Security Architect, Elexon

Shruti Kulkarni

Information Security Architect, Elexon

I am a security professional with experience across various domains of security. I work in defining organisation’s security strategy, security architecture and security practices. Translating business objectives and risk management strategies into specific security processes enabled by security technologies and services. I work on gap analysis, design, implementation and...

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Chandra Rajagopalan
Chandra Rajagopalan
Principal Engineer, Netskope

Chandra Rajagopalan

Principal Engineer, Netskope

Chandra Rajagopalan is a seasoned professional in cloud security and software, with over 20 years of industry experience. With more than ten approved patents in cybersecurity and computing, Chandra's technical acumen and deep insights are evident. His contributions to the Cloud Security Alliance (CSA), particularly in Zero Trust, highlight his dedication to advancing cybersecurity standards. Notably, he played a pivotal role in developing t...

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Joe Young Headshot Missing
Joe Young

Joe Young

Rohini Sulatycki Headshot Missing
Rohini Sulatycki

Rohini Sulatycki

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