Organizations are increasingly integrating artificial intelligence (AI) into critical systems. While AI has the power to innovate, it also introduces new cybersecurity risks. Unfortunately, this technology is still so new that many organizations don’t realize they need additional skills to mitigate AI-driven attacks.
Today’s threat landscape demands a new kind of defense tailored to AI systems. Whether you're a cybersecurity professional, a business leader, or just starting to explore the field, AI security training can equip you with the skills to identify vulnerabilities, implement controls, and stay ahead of evolving threats.
In this guide, we’ll share the six best AI security training courses for a range of experience levels.
The table below provides an overview of the AI security training courses discussed in this article.
Learn the basics of AI security with Microsoft’s beginner-level training. The 1.5-hour course focuses on Azure to teach you the basics of security controls, testing procedures, and more.
While you should be familiar with basic cybersecurity concepts, knowledge of AI models is also helpful. The course includes modules on architecture layers, jailbreaking, prompt injection, data exfiltration, and more.
This GenAI security training course from SANS is ideal for non-technical leaders who need to get up to speed quickly on all things AI. Designed for CIOs, CMOs, and CTOs as well as product managers, this course teaches you why GenAI is essential and how to protect it from unauthorized use.
You’ll also learn how to create an AI policy, leverage AI for productivity, and receive a framework for managing both human and cyber risks.
ISACA offers a range of AI security training courses and resources, but its AI Audit Training is unique. With AI advancements changing by the day, auditors need a new framework to ensure AI's ethical, safe, and compliant use.
This learning pathway introduces auditors to using AI for auditing and use cases for auditing the AI itself. Consider adding ISACA’s primer on machine learning and AI audit toolkit to further your knowledge.
Designed for intermediate professionals, this course from NICCS will help you understand the foundations of AI, security challenges, ethics, and best practices for mitigating vulnerabilities.
This AI security training course also allows you to collaborate with peers on practical exercises through hands-on labs, helping you build your real-world skills.
The SEC595 AI security training course is designed for more advanced users. You’ll learn about data science, machine learning, and statistical analysis.
This course includes 30 hands-on labs designed for Infosec professionals, blue teams, and data scientists. You’ll learn about data acquisition, probability, Bayesian inference, deep learning neural networks, and much more.
The CAISP certification will equip you with the knowledge to mitigate AI security risks. Not only will you learn about common AI threats, but you’ll also receive hands-on practice executing and mitigating them.
You’ll learn about adversarial machine learning, AI misuse, computer vision, and more. In the last section of the course, you’ll create AI policies based on the MITRE ATLAS™ framework. This course requires basic knowledge of Linux, Python, Golang, and Ruby.
If you’re interested in exploring additional learning opportunities, check out our posts on the best offensive security certifications and training courses and the best red teaming certifications and courses.
Whether you're a business leader looking to set smart policy or an AI security pro who’s ready to get hands-on with adversarial threats, today’s AI security trainings offer something for everyone. As AI continues to evolve—and attackers get more creative—investing in proper training is one of the best ways to stay ahead.
Ready to put your AI security knowledge into action? Book a demo to explore how Mindgard’s Offensive Security platform helps you proactively test, probe, and protect AI systems against real-world threats.
AI security training is valuable for a wide range of professionals. Business leaders like CIOs, CMOs, and CTOs can benefit from understanding risk frameworks and policy creation. At the same time, cybersecurity professionals, auditors, and data scientists gain technical skills for identifying and mitigating AI-specific threats.
Not necessarily. Some courses, like SANS AIS247, are designed for non-technical leaders with minimal AI experience. Others, such as SEC595 or CAISP, require familiarity with programming languages and security fundamentals. Always review the course prerequisites to find the right fit for your background.
AI security protects AI systems from attacks that exploit model behavior, training data, or inputs, such as prompt injection, model theft, or adversarial examples. It also includes auditing AI decision-making, ensuring ethical use, and managing evolving risks that don’t typically apply to conventional IT infrastructure.
