OWASP Top 10 LLM 2025: AI Security Essentials (Udemy.com)
Master the latest OWASP list for AI, protect Large Language Models apps, and build secure, resilient systems
Created by: Andrii Piatakha
Last updated February 2026
What you will learn
- Understand the fundamentals of Large Language Models (LLMs) and their security landscape
- Explore the OWASP Top 10 for LLMs (2025) and why it matters for developers, architects, and security professionals
- Identify common vulnerabilities unique to LLMs, such as prompt injection and data leakage
- Learn practical techniques for defending against adversarial prompt manipulation
- Recognize risks of unbounded resource consumption and denial-of-wallet attacks
- Detect and mitigate model extraction and replication attempts
- Understand embedding inversion attacks and their impact on data privacy
- Explore cross-tenant risks in multi-user vector databases and retrieval-augmented generation (RAG)
- Implement safe input validation, sanitization, and filtering strategies
- Apply Role-Based Access Control (RBAC) and least-privilege design principles to LLM systems
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.7 out of 5higher than 86% of them
- Reviews231#787 of 1,183 by number of reviews
- Length12.2 hourslonger than 77% of them
- Last updatedFebruary 2026more recently than 67% of them
Course Description
Artificial Intelligence is no longer a buzzword - it’s a critical part of modern software systems. Large Language Models (LLMs) like GPT, Claude, and others are being embedded into chatbots, customer support systems, code assistants, knowledge management platforms, and even critical business applications.
But here’s the problem: while adoption of AI is skyrocketing, security hasn’t kept up. Most organizations are deploying LLM-powered systems without fully understanding the new risks that come with them. Attackers are already discovering creative ways to exploit these models - through prompt injection, data leakage, model extraction, unbounded resource consumption, embedding inversion, and more.
This is why the OWASP Top 10 for LLMs (2025) was created: a global standard designed to help professionals understand and defend against the most dangerous vulnerabilities in AI systems. And this course is your step-by-step guide to mastering it.
Why this course? Why now?
First-mover advantage: Few professionals truly understand LLM security today. By mastering it now, you position yourself as a forward-thinking expert in one of the fastest-growing fields in cybersecurity.
Comprehensive coverage: We don’t just list vulnerabilities - we analyze real-world attacks, case studies, and live demonstrations so you can see how threats work in practice.
Practical defense strategies: Every risk is paired with concrete mitigation techniques that you can apply immediately in your own systems.
Bridging AI and security worlds: Whether you come from a software, security, or AI background, this course gives you a common language and actionable playbook to secure LLM deployments.
Career impact: AI security skills are in massive demand. Adding “OWASP Top 10 for LLMs (2025)” expertise to your CV instantly makes you stand out to employers, clients, and organizations racing to secure their AI.
What you will learn inside this course
The OWASP Top 10 for LLMs (2025) explained in depth.
The unique risks of LLMs compared to traditional web apps and APIs.
How to detect and defend against prompt injection and data exfiltration attacks.
Strategies to mitigate denial-of-wallet, resource exhaustion, and abuse of compute cycles.
Techniques for protecting against model extraction and inversion attacks.
Risks in multi-tenant vector databases and retrieval-augmented generation (RAG) setups.
Implementing secure design patterns, RBAC, and least-privilege principles for AI apps.
Building monitoring, logging, anomaly detection, and governance systems for AI pipelines.
Hands-on insights into adversarial robustness, red teaming, and continuous security testing.
Best practices for compliance, ethics, and legal frameworks when deploying AI responsibly.
Who should take this course?
This course is designed for a wide range of professionals:
Software developers embedding LLMs into applications.
Security engineers & penetration testers who want to expand into AI.
AI/ML engineers needing to harden their models against adversaries.
Solution architects & tech leads responsible for secure design.
MLOps and DevOps professionals maintaining AI pipelines.
Business leaders & product managers making decisions about AI adoption.
Cybersecurity students, researchers, and compliance officers looking for cutting-edge knowledge.
Why this course is the best choice for you
Unlike generic AI or security training, this course is laser-focused on the intersection of LLMs and cybersecurity. It’s built around the official OWASP Top 10 for LLMs (2025), the first global framework for addressing AI-specific vulnerabilities. You’ll not only gain theoretical knowledge but also actionable skills you can use immediately.
By enrolling, you’re not just learning about threats - you’re learning how to future-proof your career, protect your projects, and become a trusted expert in one of the most urgent topics in technology today.
Don’t wait until the next security breach makes headlines. Enroll now, master the OWASP Top 10 for LLMs (2025), and be at the forefront of AI security.
Instructor Details
- 4.7 Rating
231 Reviews
Andrii Piatakha
Andrii Piatakha is a highly experienced educator, entrepreneur, project manager and software engineer with over 10 years of teaching experience and a proven track record of empowering students worldwide to achieve their goals in IT. As the Founder and CEO of IT-Bulls, Andrii has dedicated his career to promoting engineering excellence and shaping the next generation of IT professionals.
=== What Sets Andrii Apart? ===
Unparalleled Expertise
Andrii's career spans over a decade, during which he has mentored thousands of students and professionals. His hands-on experience as a software engineer and business leader allows him to deliver courses that are both practical and impactful. Andrii specializes in teaching Java, software architecture, cybersecurity, project management, web and application development, and more.
Transformative Education
Through his highly popular course “Java from Zero to First Job”, Andrii has helped countless individuals with no prior programming experience secure their first jobs in IT. This course is renowned for its structured approach, real-world projects, and ability to prepare students for success in the shortest possible time.
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Reviews
By Aakash Saxena on 9/21/2026
nice way to approach and encourage, love this.
By Kerron Braham on 8/21/2026
Great content . given the slide centric delivery would have appreciated a complete downloadable pdf resource.
By Claudio Alejandro Bustamante Eguía on 8/19/2026
Solamente le agregaría casos prácticos en algún producto de IA como Claude, Lovable o Copilot
By Carl Stone on 8/13/2026
Excellent content and delivery
By Khajavali Shaik on 6/30/2026
Got good knowledge
By KARI SUORTTI on 5/15/2026
The course content is exactly what I was seeking. And the presentation scheme is really good.
By David Mikhail on 4/14/2026
This course was very interesting and i learnt a lot about how think when it comes to securing Ai systems. Andrii is very knowledgeable and teach in a good and understanding way. I also like that Andrii tool the time to make some extra documents that can be used when working with securing Ai systems. I would have liked to see some more interaction between teacher and student, like assignments after each chapter. Now i don't mean something he needs to correct or grade but something for us students to do something practical.
By Aldo Emir Morante Delgado on 11/12/2025
Thank you very much for the course, excellent information and very well explained.
By Arun ARUMUGAM on 7/13/2026
By Kumari Ritu on 7/4/2026
Quality Score
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Overall Score : 94 / 100












