Generative AI Security for Safe Use in Organizations

Best Practices, Case Studies, Security Frameworks and 120 Examples

Created by: Edcorner Learning
Be Incredible

What Will I Learn?

• Generative Al
• Ethical Concerns and Bias in Al-Generated Content
• Security Risks Associated with Generative Al
• Data Poisoning and Prompt Injection Attacks
• Model Inversion and Data Leakage
• Model Stealing and Its Implications
• Inadequate Sandboxing and Malicious Code Execution
• Top Threats Presented by Public Al
• Developing a Security Framework for Generative AI
• 120 Examples
• Case Studies
• Best Practices for Safe Use of Generative Al
• Promoting a Culture of Security Awareness in Al

Requirements

• Eager to learn Generative AI Security.

Target audience

• IT Security Professionals
• IT Professionals
• Cybersecurity Analysts, IT Security Managers, Security Architects
• Data Scientists, Machine Learning Engineers, AI Researchers
• Chief Information Officers (CIOs), Chief Technology Officers (CTOs), IT Project Managers
• Compliance Officers, Legal Advisors, Risk Managers
• Continuous Learners, Career Changers