AI-Driven Threat Protection with Microsoft Defender for Cloud
1h 47mIntermediate2025-03-11
Authors
Oluwaseun Adebayo
Microsoft Certified Trainer and Consultant
Course details
This course equips you with the knowledge and practical skills to harness artificial intelligence and Microsoft Defender for Cloud to proactively prevent internal and external threats in cloud environments. Through hands-on demos, acquire knowledge that can be implemented on real-world projects and develop expertise in automating cloud security operations while ensuring compliance and ethical considerations in AI deployment. Focusing on AI-powered threat prevention, behavioral analytics, automated remediation, and cross-platform security for multi-cloud and hybrid infrastructures, this course empowers you to build and manage robust, AI-driven security systems.
Skills covered
Vulnerability ManagementCloud SecurityNetwork SecurityIncident ResponseAzureCybersecurityCloud ComputingMicrosoftDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - Using AI to drive security
1. Overview of an Intrusion Prevention System
- 02 - Understanding intrusion prevention systems
- 03 - Scenario-based questions
- 04 - Cloud security models
- 05 - Simulate IaaS environment in Azure
- 06 - Simulate PaaS environment in Azure
- 07 - Simulate SaaS in environment in Azure
- 08 - Secure score visualization
2. Data Security with SIEM Tools
- 09 - Carbon Black with Sentinel
- 10 - Cortex XDR with Sentinel
- 11 - IBM QRadar with Sentinel
3. Set Up AI-Based Malware Protection for External Threats
- 12 - Enable Defender for Cloud
- 13 - Configure DDoS
- 14 - Configure rate limit with Azure Firewall
4. Set Up AI-Based Malware Protection for Internal Threats
- 15 - Remediate a threat with MDE
- 16 - Investigate alerts with alert tunning
- 17 - Leverage UEBA with Sentinel
Conclusion
- 18 - Summary