OWASP Top 10 for LLM Applications: 10 free training exercises now live
Every risk category in the OWASP Top 10 for LLM Applications now has a dedicated training exercise on RansomLeak. Ten exercises covering ten attack scenarios, from prompt injection to denial-of-wallet. All free, no account required.
The OWASP Top 10 for LLM Applications is the industry standard for categorizing AI security risks. This course turns each category into a hands-on simulation where employees experience these attacks firsthand in realistic workplace scenarios.
What is the OWASP Top 10 for LLM Applications training course?
Section titled “What is the OWASP Top 10 for LLM Applications training course?”The OWASP Top 10 for LLM Applications training course is a set of 10 interactive exercises covering every risk category in the OWASP LLM Top 10 (2025 revision). Published by the Open Worldwide Application Security Project, the OWASP LLM Top 10 identifies the most critical security risks in systems that use large language models: prompt injection, sensitive data exposure, supply chain compromise, data poisoning, unsafe output handling, excessive agency, system prompt leakage, RAG pipeline exploitation, AI-generated misinformation, and unbounded consumption. According to Gartner, 55% of organizations were using generative AI in production by mid-2025, while only 38% had any form of AI-specific security training. Each exercise in this course places employees inside a realistic attack scenario involving AI tools they already use at work: chatbots, coding assistants, RAG-powered knowledge bases, and AI-connected automation systems. Exercises run in the browser as interactive 3D simulations, take about 10 minutes each, and require no account or installation.
The course covers all 10 OWASP LLM risk categories:
- Prompt Injection: Hidden instructions in a document hijack an AI assistant mid-task
- Sensitive Data Exposure Through AI: Confidential data pasted into AI tools persists in training pipelines and logs
- AI Supply Chain Compromise: A marketplace AI plugin passes functional tests while hiding a backdoor
- AI Training Data Poisoning: Poisoned documents in a knowledge base corrupt AI-generated business answers
- Unsafe AI Output Handling: Unsanitized AI output enables SQL injection and XSS through the AI layer
- Over-Permissioned AI Agent: A manipulated prompt triggers unauthorized emails, file shares, and calendar changes
- AI System Prompt Extraction: Conversational techniques extract hidden business rules and credentials from a chatbot
- RAG Pipeline Exploitation: Vector similarity search bypasses document-level access controls
- AI Hallucination and Misinformation: Fabricated statistics and fake citations appear in an AI-generated business report
- AI Denial-of-Service: Crafted prompts spiral cloud costs from dollars to thousands in minutes
Each exercise runs in the browser as an interactive 3D simulation. Employees make decisions, observe consequences, and build intuition for recognizing these attacks in their own workflows.
Why do employees need LLM security training right now?
Section titled “Why do employees need LLM security training right now?”The gap between AI adoption and AI security awareness keeps growing. Your employees interact with LLMs every day. Support agents use chatbots. Developers rely on AI coding assistants. Marketing teams generate content. Finance teams summarize reports. Each of those interactions is a potential attack surface, and most employees have no idea.
The incidents are already adding up. Samsung engineers leaked proprietary source code through ChatGPT in 2023. A New York attorney submitted fabricated case citations generated by AI to a federal court the same year. In late 2025, Anthropic documented a Chinese state-sponsored group that weaponized an AI coding tool for espionage across more than 30 organizations. These are not hypothetical scenarios. They happened, and they keep happening.
Traditional security awareness training covers phishing, passwords, and social engineering. Those topics still matter. But they do not prepare employees for what happens when they paste an API key into a consumer AI chatbot, or when an AI assistant starts following hidden instructions from a document instead of their own commands.
How do these exercises work compared to slide-based training?
Section titled “How do these exercises work compared to slide-based training?”Most AI security training is a slide deck explaining what prompt injection is, followed by a quiz asking employees to repeat the definition. That checks a compliance box. It does not change behavior.
These exercises put employees inside the attack. In the Prompt Injection exercise, you watch an AI assistant process a document containing hidden instructions. You see the moment the AI’s behavior changes. You trace the data exfiltration path from your chat window to an attacker-controlled endpoint. That experience sticks in a way that reading a definition does not.
In the System Prompt Extraction exercise, you play the attacker. You try conversational techniques against a customer-facing chatbot, starting with polite requests and escalating to role-play manipulation. When the system prompt leaks and reveals hardcoded API keys and internal pricing rules, you understand why prompt hardening matters, because you just broke through it yourself.
The Data Poisoning exercise shows side-by-side comparisons of AI responses before and after poisoned documents enter the knowledge base. You ask routine business questions and watch the AI deliver confident, wrong answers, citing the poisoned documents as sources. Seeing the AI recommend a fake vendor with complete confidence is a more effective lesson than any slide about “knowledge base integrity.”
Each exercise takes about 10 minutes. No installation, no login. Open the link and start.
Which exercises should your team start with?
Section titled “Which exercises should your team start with?”Not every role needs the same depth on all ten risks. Prioritize based on who is taking the training.
All employees should start with Sensitive Data Exposure and AI Hallucination. These two risks affect anyone who uses AI tools for work. The data exposure exercise teaches what happens when confidential information enters a consumer AI chatbot. The hallucination exercise builds practical fact-checking habits for AI-generated content.
Developers and engineers should add Prompt Injection, Unsafe Output Handling, and RAG Pipeline Exploitation. Anyone building AI-integrated applications needs to understand how AI outputs can carry injection payloads into downstream systems, and how RAG architectures leak data across permission boundaries.
IT and security teams should run all ten. Supply Chain Compromise, Over-Permissioned AI Agent, and Denial-of-Service cover infrastructure and configuration risks that security teams need to audit across the organization.
Managers and executives should focus on Excessive Agency and System Prompt Extraction. These exercises show the business consequences of rushed AI deployments: unauthorized actions performed by over-permissioned agents, and confidential business logic exposed through chatbot conversations.
How does this course fit into a broader AI security program?
Section titled “How does this course fit into a broader AI security program?”The OWASP Top 10 for LLM Applications covers risks in the AI models and tools themselves. AI security extends beyond the model layer.
Our AI & LLM Security catalogue includes this course alongside the OWASP Top 10 for Agentic AI Applications (coming soon), which covers risks specific to autonomous AI agents: goal hijacking, tool exploitation, privilege escalation, memory poisoning, and cascading failures in multi-agent systems. For a deeper look at those risks, read our guide to the OWASP Agentic AI Top 10.
For organizations building their first AI security training program, start with this LLM course to establish baseline awareness across all employees. Layer in the agentic AI exercises for technical teams as those become available.
These exercises also complement existing training tracks. If your team already runs phishing detection and social engineering exercises, the AI security course fills the gap that traditional training leaves open. For a look at how AI is changing phishing tactics specifically, pair the LLM course with our deepfake social engineering content.
All ten OWASP Top 10 for LLM Applications exercises are live in our AI security training catalogue. Start with the Prompt Injection exercise or explore the full training catalogue to find the right path for your team.