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LinkedIn Learning

Securing the Use of Generative AI in Your Organization

via LinkedIn Learning

Overview

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

Syllabus

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

Taught by

Jerich Beason

Reviews

4.6 rating at LinkedIn Learning based on 194 ratings

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