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LinkedIn Learning

Securing the Use of Generative AI in Your Organization

via LinkedIn Learning

Overview

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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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