AI Security (Udemy.com)

This course contains the use of artificial intelligence.

AI Security by Christopher Nett is a meticulously structured Udemy course aimed at IT professionals seeking to master AI Security.

This course systematically walks you through the initial basics to advanced concepts with applied case studies. You will gain a deep understanding of the principles and practices necessary for AI Security.

Key benefits for you:

1. Basics - Azure: Learn the fundamental concepts of Microsoft Azure, including its core services, security, and governance best practices.

2. Basics - Microsoft Security: Explore Microsoft’s security ecosystem, including tools and frameworks designed to protect cloud and on-premises environments.

3. Generative AI: Understand the principles of generative AI, its applications, and its impact on cybersecurity and enterprise risk management.

4. Cybersecurity for GenAI: Examine the unique security challenges posed by generative AI and strategies for mitigating risks in AI-driven environments.

5. Microsoft Security Copilot: Discover how Microsoft Security Copilot leverages AI to enhance security operations, threat detection, and incident response.

6. ChatGPT for SOC: Learn how ChatGPT can assist Security Operations Centers (SOC) with automated threat detection, investigation, and response.

7. ChatGPT for CTI: Explore how ChatGPT can enhance Cyber Threat Intelligence (CTI) workflows by analyzing and summarizing emerging threats.

8. ChatGPT for Vulnerability Management: Understand how ChatGPT can support vulnerability management efforts, from risk assessment to remediation guidance.

9. ChatGPT for Application Security: Learn how ChatGPT can assist in securing applications by identifying vulnerabilities and improving security best practices.

10. OWASP Top 10 for LLMs: Analyze security risks specific to large language models (LLMs), including data poisoning, adversarial attacks, and prompt injection.

11. Other Risks for GenAI: Examine additional risks associated with generative AI, such as misinformation, ethical concerns, and regulatory challenges.

12. Threat Modeling for GenAI: Learn how to apply threat modeling techniques to generative AI systems to identify and mitigate potential security threats.

13. MITRE ATT&CK and MITRE ATLAS: Explore how the MITRE ATT&CK and ATLAS frameworks help map adversarial AI threats and develop defensive strategies.

14. Securing AI with Defender for Cloud: Understand how Microsoft Defender for Cloud enhances AI security by monitoring, detecting, and mitigating AI-related threats.

This course contains promotional materials.