Overview
This course is designed for Security and AI/ML technical users focusing on securing generative AI on AWS. Learn about the AWS Gen AI Security Scoping Matrix to effectively categorize and secure AI implementations. Explore the MITRE ATLAS framework and OWASP's Top 10 threats to Generative AI, along with comprehensive security strategies across governance, legal, and risk controls.
- Course level: Intermediate
- Duration: 120 minutes
Activities
This course includes knowledge checks and a Bedrock technical demo video.
Course objectives
- Understand and apply the Generative AI Security Scoping Matrix to categorize and secure different AI implementations.
- Implement comprehensive security strategies across governance, legal, risk, controls, and resilience for various AI scopes.
- Navigate key AI security frameworks like OWASP Top 10 for LLMs and MITRE Atlas.
- Develop practical skills to secure generative AI workloads on AWS, from consumer applications to self-trained models.
Intended audience
- Architects
- Cloud Operators
- Data Engineers
- Data Scientists
- Developers
- DevOps Engineers
- Infrastructure Engineers
- Security Engineers
Recommended Skills
Attendees are recommended to have completed the following trainings:
- AWS Security Fundamentals
- Introduction to Generative AI - Art of the Possible
Course Outline
- Module 1: Introduction to Generative AI Security
- Module 2: Generative AI Security Frameworks
- Module 3: Introducing the Generative AI Security Scoping Matrix
- Module 4: Securing Consumer AI Applications (Scope 1)
- Module 5: Securing Enterprise AI Applications (Scope 2)
- Module 6: Securing Pre-trained AI Models (Scope 3)
- Module 7: Securing Fine-tuned AI Models (Scope 4)
- Module 8: Securing Self-trained AI Models (Scope 5)
- Module 9: Generative AI Security in Practice & Conclusion
Keywords
- Generative AI
- Gen AI
- Artificial Intelligence
- Security