Learn how AI is transforming security operations. Discover how automation, machine learning, and AI-driven workflows help SOC teams detect threats faster, reduce alert fatigue, and improve response times without replacing analysts.
Thank you to our sponsor for this webcast, Palo Alto Networks.
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- 0:00 - Introduction & Webinar Overview
- 01:55 - What AI Really Means in Cybersecurity
- 03:35 - Machine Learning vs Generative AI in Security
- 04:58 - Why Humans Still Matter in SOCs
- 06:00 - AI in Security Workflows Explained
- 09:30 - The Problem with Traditional SIEM & SOC Tools
- 11:00 - Rethinking Detection Engineering
- 13:20 - Platform vs “A La Carte” Security Tools
- 14:10 - What is Cortex XSIAM? (Full Breakdown)
- 17:20 - AI vs Automation: What Actually Matters
- 20:45 - Why Automation is Now a MUST-Have
- 23:40 - Challenges Managing Security Tools & Data
- 25:40 - How AI Helps SOC Efficiency & Parsing Data
- 28:00 - Practical AI Use Cases in Security Teams
- 30:15 - How to Start Implementing AI in SOCs
- 33:00 - Why Security Teams Need Practice & Simulation
- 35:00 - Hackathons & Improving SOC Efficiency
- 37:55 - Why Most Breaches Are Process Failures
- 43:00 - Alert Fatigue: Red Flags vs Yellow Flags
- 46:40 - Best SOC Use Cases for AI
- 49:15 - Visibility Gaps & Using AI to Solve Them
- 50:40 - Ensuring AI Helps (Not Replaces) Humans
- 53:40 - Avoiding “Busy Work” in Security
- 58:00 - Final Q&A & Key Takeaways





