Learn about securing generative AI to unleash its potential while fortifying your organization against emerging cybersecurity threats.
Overview
Syllabus
Introduction
- Introduction to Generative AI
- Security Challenges in Generative AI
- Data Poisoning and Prompt Injection Attacks
- Model Inversion and Data Leakage
- Model stealing
- Hallucinations
- Inadequate sandboxing and malicious code execution
- Top threats presented by Public AI
- Public AI Risk Mitigation
- Ethical and Bias Considerations in Generative AI
- Governance of Generative AI
- Writing your Generative AI Policy
- NIST AI Risk management Framework
- AI browser plugin risk management
- Introducing the MITIGATE AI Cyber framework
- Gen AI Fortified: Your roadmap ahead
Taught by
Jerich Beason