Enroll Course: https://www.udemy.com/course/ai-security-cn/
In today’s rapidly evolving technological landscape, the intersection of Artificial Intelligence and cybersecurity is no longer a niche concern but a critical domain for IT professionals. Christopher Nett’s “AI Security” course on Udemy stands out as a comprehensive and meticulously structured program designed to equip learners with the knowledge and skills necessary to navigate this complex field.
From the fundamentals to advanced applications, this course offers a systematic journey. It begins by laying a strong foundation in Microsoft Azure, covering essential services, robust security measures, and governance best practices. This is complemented by an exploration of Microsoft’s broader security ecosystem, providing insights into the tools and frameworks vital for protecting both cloud and on-premises environments.
The course then delves into the heart of AI, starting with the principles and applications of generative AI, and importantly, its profound impact on cybersecurity and enterprise risk management. A significant portion is dedicated to “Cybersecurity for GenAI,” meticulously examining the unique security challenges presented by generative AI and outlining effective strategies for risk mitigation in AI-driven systems.
What truly sets this course apart is its practical, hands-on approach, particularly its focus on real-world AI tools. Learners will discover how Microsoft Security Copilot can revolutionize security operations, enhance threat detection, and streamline incident response. The course also provides in-depth training on leveraging ChatGPT across various security functions: assisting Security Operations Centers (SOC) with automated threat detection and investigation, bolstering Cyber Threat Intelligence (CTI) workflows, supporting vulnerability management with risk assessment and remediation guidance, and enhancing application security by identifying vulnerabilities.
Furthermore, “AI Security” addresses the specific risks associated with Large Language Models (LLMs), including an analysis of the OWASP Top 10 for LLMs, covering threats like data poisoning, adversarial attacks, and prompt injection. It also examines other critical risks such as misinformation, ethical considerations, and regulatory challenges inherent in generative AI.
To fortify defenses, the course introduces essential frameworks like MITRE ATT&CK and MITRE ATLAS, demonstrating how they can be used to map adversarial AI threats and develop proactive defensive strategies. The practical application of securing AI is further emphasized through a module on “Securing AI with Defender for Cloud,” showcasing how this Microsoft tool can monitor, detect, and mitigate AI-related threats.
For any IT professional looking to stay ahead of the curve and build robust defenses against emerging AI-powered threats, Christopher Nett’s “AI Security” course on Udemy is an indispensable resource. It offers a blend of theoretical knowledge and practical application, making it an excellent investment for enhancing your cybersecurity expertise in the age of AI.
Enroll Course: https://www.udemy.com/course/ai-security-cn/