Enroll Course: https://www.udemy.com/course/ai-security-cn/
In today’s rapidly evolving digital landscape, the intersection of Artificial Intelligence and cybersecurity is no longer a futuristic concept but a present-day imperative. For IT professionals looking to stay ahead of the curve, Christopher Nett’s ‘AI Security’ course on Udemy offers a comprehensive and meticulously structured path to mastering this critical domain.
This course is designed to take learners from the foundational basics to advanced, practical applications. Nett expertly guides you through the essential building blocks, starting with an in-depth look at Microsoft Azure. You’ll gain a solid understanding of its core services, robust security measures, and governance best practices – crucial knowledge for anyone working with cloud-based AI solutions. Complementing this, the course delves into Microsoft’s broader security ecosystem, equipping you with insights into the tools and frameworks vital for protecting both cloud and on-premises environments.
The true heart of the course lies in its exploration of Generative AI. Nett breaks down the principles, diverse applications, and the profound impact generative AI has on cybersecurity and enterprise risk management. A significant portion is dedicated to ‘Cybersecurity for GenAI,’ where the unique security challenges posed by these powerful models are thoroughly examined, along with actionable strategies for risk mitigation. This includes a fascinating look at Microsoft Security Copilot, showcasing how AI is being leveraged to supercharge security operations, threat detection, and incident response.
Furthermore, the course provides practical, hands-on insights into how Large Language Models (LLMs) like ChatGPT can revolutionize Security Operations Centers (SOCs) and Cyber Threat Intelligence (CTI) workflows. You’ll learn how ChatGPT can automate threat detection, streamline investigations, and enhance the analysis of emerging threats. The applications extend to vulnerability management, offering guidance on risk assessment and remediation, and even application security, helping to identify vulnerabilities and bolster best practices.
Nett doesn’t shy away from the complexities. The course confronts the critical ‘OWASP Top 10 for LLMs,’ dissecting specific security risks such as data poisoning, adversarial attacks, and prompt injection. It also addresses other crucial risks like misinformation, ethical considerations, and regulatory challenges inherent in generative AI.
To equip learners with proactive defense strategies, the course introduces threat modeling specifically for GenAI systems and explores the invaluable MITRE ATT&CK and MITRE ATLAS frameworks for mapping adversarial AI threats. Finally, it highlights how Microsoft Defender for Cloud can be instrumental in securing AI by providing comprehensive monitoring, detection, and mitigation capabilities for AI-related threats.
For any IT professional aiming to build a robust understanding of AI security, Christopher Nett’s course is an exceptional recommendation. It’s a well-rounded curriculum that blends theoretical knowledge with practical application, ensuring you’re well-prepared to navigate the complexities of securing AI in your organization.
Enroll Course: https://www.udemy.com/course/ai-security-cn/