Secure and Govern Custom AI Built on Azure AI and Copilot Studio

Overview

Discover essential strategies for securing and governing custom AI applications, focusing on data security, compliance controls, vulnerability management, and protection against emerging AI threats.

Syllabus

• Introduction to AI Security and Governance
Overview of AI applications
Importance of security and governance in AI
• Azure AI and Copilot Studio Basics
Introduction to Azure AI services
Overview of Copilot Studio tools and features
• Data Security in AI Systems
Data encryption techniques
Access control and identity management
Secure data storage practices
• Compliance Controls in AI
Understanding regulatory frameworks (e.g., GDPR, CCPA)
Implementing compliance in AI workflows
Audit and accountability in AI systems
• Vulnerability Management for AI Applications
Identifying vulnerabilities in AI systems
Patch management and software updates
Risk assessment and mitigation strategies
• Emerging AI Threats and Protections
Overview of common AI threats
Implementing AI threat detection and response systems
Proactive security measures for AI applications
• Case Studies and Best Practices
Real-world examples of AI security breaches
Best practices for securing custom AI deployments
• Hands-on Lab: Securing an AI Application on Azure
Step-by-step guide to securing an example AI application
Applying learned security and governance concepts
• Conclusion and Future Trends
Recap of key course topics
Discussion on future trends in AI security and governance

Subjects

Programming