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OWASP Top 10 for Large Language Models

Name: OWASP Top 10 for Large Language Models
Author: Baturi

Securing AI Applications from Prompt Injection to Excessive Agency

What you'll learn

⚡ Understand the unique threat landscape facing LLM-powered applications
⚡ Perform threat modeling for AI and LLM systems
⚡ Identify and defend against prompt injection attacks
⚡ Prevent sensitive information disclosure through LLM outputs
⚡ Secure the LLM supply chain including models, plugins, and dependencies
⚡ Detect and mitigate data and model poisoning attacks
⚡ Implement proper output handling to prevent downstream exploits
⚡ Limit excessive agency in autonomous and agentic LLM systems

Requirements

❗ Basic familiarity with web application security concepts
❗ General understanding of how LLMs and generative AI work
❗ No prior AI security experience required

Description

This course contains the use of artificial intelligence.
Secure your AI applications against the most critical LLM vulnerabilities — before attackers exploit them.
Large Language Models are transforming how organizations build software, automate workflows, and interact with customers. But this new attack surface has introduced security risks that traditional application security training simply does not cover. Prompt injection, data poisoning, excessive agency, vector embedding weaknesses, and system prompt leakage are now real threats facing every team deploying LLM-powered features.
This course gives you a complete, structured walkthrough of the OWASP Top 10 for LLM Applications — the industry-standard framework developed by security professionals to address the unique risks of generative AI systems. Whether you are a developer building AI features, a security professional assessing LLM deployments, an AI engineer integrating models into production, or a technical leader responsible for go-live decisions, this course gives you the practical knowledge you need to ship secure LLM applications.
You will start with the foundations, building a clear understanding of the LLM threat landscape and learning how to perform threat modeling specifically for AI systems. From there, you will work through each of the ten OWASP risk categories in depth — examining real attack scenarios, root causes, and concrete mitigation strategies you can apply to your own systems.
The course closes with a defense-in-depth playbook and a go-live checklist that pulls everything together into actionable guidance you can use immediately on your next LLM project.

Who this course is for

⭐ Application developers building LLM-powered features and products
⭐ Security professionals and penetration testers expanding into AI security
⭐ AI engineers and ML practitioners deploying models to production
⭐ DevSecOps and platform engineers supporting LLM workloads
⭐ Technical leaders, architects, and CISOs responsible for AI risk
⭐ IT professionals preparing for emerging AI security certifications

Homepage

https://www.udemy.com/course/owasp-top-10-for-large-language-models-b

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