Cybersecurity in the Age of AI
Overview
Cybersecurity in the Age of AI is a half-day course introducing the essential principles and practices for protecting AI systems and data. Participants gain a concise overview of key frameworks such as the NIST AI Risk Management Framework and ISO/IEC 27090, explore common security and privacy risks in AI
implementations, and examine practical approaches for mitigating threats to large language models and other AI components. The session provides a focused foundation for understanding and managing AI-related risks in real-world environments.
This course is included in the AI Annual Learning Pass.
Schedule
Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.
Duration: 1/2 Day
Who Should Take This Course
Audience
Security Professionals, Data Scientists/Engineers, AI/ML Ops and DevSecOps Staff, AI/ML Developers, AI/ML Managers.
Topics Discussed
- AI Security and Privacy Overview
- Privacy in AI Systems
- Guidelines and security frameworks for AI
- LLM Vulnerabilities and Mitigations
Why You Should Take This Course
Upon completing this course, participants will be able to:
- Understand potential attack vectors targeting AI models
- Understand privacy risks in AI Systems
- Understand cybersecurity and privacy frameworks and best practices for AI systems
- Reason about potential risks and implement effective mitigation strategies in their organizations