Securing the Use of Generative AI in Your Organization

Learn about securing generative AI to unleash its potential while fortifying your organization against emerging cybersecurity threats.

Introduction

• Introduction to Generative AI
• Security Challenges in Generative AI

1. Understanding and Mitigating Threat and Risks to Home Grown Private Gen AI

• Data Poisoning and Prompt Injection Attacks
• Model Inversion and Data Leakage
• Model stealing
• Hallucinations
• Inadequate sandboxing and malicious code execution

2. Understanding and Mitigating Threats and Risks to Open Public Gen AI

• Top threats presented by Public AI
• Public AI Risk Mitigation

3. Governance and Ethics of Generative AI

• Ethical and Bias Considerations in Generative AI
• Governance of Generative AI
• Writing your Generative AI Policy

4. Bonus AI Security Strategies and Frameworks

• NIST AI Risk management Framework
• AI browser plugin risk management
• Introducing the MITIGATE AI Cyber framework

Conclusion

• Gen AI Fortified: Your roadmap ahead