OWASP Top 10 LLM 2025: AI Security Essentials

OWASP Top 10 LLM 2025: AI Security Essentials by Andrii Piatakha is a free Udemy course that teaches you how to protect Large Language Models from emerging AI‑specific threats. Updated July 2026, the training covers the official OWASP Top 10 for LLMs (2025), practical mitigation techniques, and real‑world attack simulations. Whether you are a developer, security engineer, or AI product leader, this course equips you with actionable skills and a certification‑ready mindset for AI‑driven systems.

What You'll Learn

• Build secure LLM‑powered applications by applying the OWASP Top 10 for LLMs (2025) framework.
• Master prompt‑injection detection and mitigation strategies for chatbots, code assistants, and RAG pipelines.
• Learn how to prevent data leakage and embedding‑inversion attacks that expose sensitive training data.
• Understand resource‑exhaustion and denial‑of‑wallet risks, and implement throttling controls to protect cloud budgets.
• Create robust monitoring, logging, and anomaly‑detection pipelines tailored for AI workloads.
• Implement Role‑Based Access Control (RBAC) and least‑privilege designs specific to LLM APIs.
• Apply adversarial robustness training and continuous red‑team testing to harden model behavior.
• Analyze legal, ethical, and compliance considerations that accompany AI security deployments.

Course Details

• Instructor: Andrii Piatakha
• Rating: 4.7 stars (based on student reviews)
• Language: English (en‑US)
• Certificate: Yes, upon completion

What This Course Covers

Foundations of LLM Security

• Overview of Large Language Models and their unique attack surface.
• Comparison of traditional web‑app vulnerabilities versus AI‑specific threats.
• Introduction to the OWASP Top 10 for LLMs (2025) and its relevance for developers.

Prompt Injection & Data Leakage

• Detailed anatomy of prompt‑injection techniques used by adversaries.
• Safe input validation, sanitization, and filtering methods for user‑generated prompts.
• Strategies to detect and block data exfiltration from model responses.

Resource Abuse & Denial‑of‑Wallet

• Identification of unbounded compute consumption patterns in LLM APIs.
• Throttling, quota management, and cost‑control mechanisms for cloud‑based models.
• Real‑world case studies of wallet‑draining attacks and mitigation playbooks.

Model Extraction, Inversion & RAG Risks

• Techniques attackers use to extract model weights or replicate proprietary LLMs.
• Embedding‑inversion attacks that reveal private training data.
• Security considerations for multi‑tenant vector databases and Retrieval‑Augmented Generation (RAG) systems.

Secure Deployment, Governance & Compliance

• Best practices for API hardening, TLS enforcement, and secret management.
• Building MLOps governance pipelines with continuous security testing.
• Legal, ethical, and regulatory frameworks guiding responsible AI deployment.

Who Should Take This Course

• Software developers integrating LLMs into customer‑facing applications.
• Security engineers and penetration testers expanding into AI‑focused threat modeling.
• AI/ML engineers who need to harden model pipelines, APIs, and RAG components.
• Solution architects and tech leads responsible for designing secure enterprise AI systems.
• MLOps, DevOps, and compliance professionals aligning AI projects with governance standards.

Prerequisites

• Basic understanding of software development or cybersecurity concepts.
• Familiarity with cloud services or API integration is helpful but not required.
• No prior experience with LLMs is needed — the course starts from first principles.

Why Enroll in This Course

This Udemy offering delivers a complete, up‑to‑date guide to AI security without any cost, thanks to a limited‑time free coupon that provides 100 % off. The curriculum blends theory with hands‑on labs, ensuring you can apply mitigation techniques immediately after each module. Compared with generic AI or security trainings, this course focuses exclusively on the OWASP Top 10 for LLMs (2025), giving you a niche expertise that employers actively seek. Enroll now and future‑proof your career while protecting the next generation of AI applications.

Course Highlights

• Lifetime access to all video lectures, labs, and downloadable resources.
• Self‑paced learning allows you to study whenever and wherever you prefer.
• Certificate of completion validates your expertise in LLM security for recruiters.
• Practical case studies demonstrate real attacks and step‑by‑step defenses.
• Mobile‑friendly content lets you review lessons on tablets or smartphones.
• Continuous updates ensure the material stays aligned with the latest OWASP recommendations.

Frequently Asked Questions

Q: Is this course really free?
A: Yes, the Udemy platform offers this AI security training at no cost while the free coupon remains active. The 100 % discount applies automatically at checkout, granting full access to all course materials.

Q: What will I learn in this OWASP Top 10 LLM course?
A: You will master the official OWASP Top 10 for LLMs (2025), learn to detect prompt injection, prevent data leakage, mitigate resource‑abuse attacks, and implement secure deployment practices. Hands‑on labs give you actionable skills you can apply to any LLM‑driven project.

Q: Do I get a certificate after completing this course?
A: Yes, Ud