
Cybersecurity defenses with GenAI
Published 4/2025
Duration: 2h 9m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 816 MB
Generative AI Meets Cybersecurity: Unlocking Microsoft Security Copilot’s Potential
What you’ll learn
– What is Generative AI?
– Evolution of AI in Cybersecurity
– Key differences between traditional AI and GenAI
– Introducing Microsoft Security Copilot
– Architecture and Components
– How Microsoft Security Co-pilot works?
– Core Features and Functionalities
– Integration with Microsoft Defender and Sentinel
– Ethical Considerations and Responsible AI Usage
– Pre-requisites and licensing for Microsoft Security Copilot
– Configuring Microsoft Copilot
– AI-Enhanced Incident Detection
– Automating Threat Intelligence with GenAI
– Using Natural Language for Log Analysis
– Enhancing SOC Operations with GenAI
– Automating Security Workflows
– Balancing Automation and Human Oversight
– Fundamentals of Threat Hunting with AI
– Creating Hunting Queries Using Natural Language
– Integrating Threat Hunting with Microsoft Sentinel
– Use Cases for Security Analysts
– Use Cases for Incident Responders
– Use Cases for Threat Hunters
– Use Cases for Security Executives
– Future-Ready AI-Driven SOC Vision
– Enhancing Existing Tools with Copilot
– Trends and Innovations in AI Security
Requirements
– Security fundamentals
– Azure Fundamentals
Description
Learners will gain a comprehensive understanding of how to use GenAI to improvesecurity hygieneandposture management, ensuring their environments are resilient against evolving threats. The course covers key areas such asthreat detection,incident response, andvulnerability management, providing actionable insights into how GenAI-powered tools like Microsoft Security Copilot can automate and optimize these essential functions.
Who this course is for:
– Security analysts
– Security Architect
– Cloud Engineer
– Security Engineer
– Security Leader
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