The OWASP Top 10 for LLM Applications in 2025: A Comprehensive Guide to Securing AI
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The OWASP Top 10 for LLM Applications in 2025: A Comprehensive Guide to Securing AIAdarsh PandeyFollowPublished inInfoSec Ninja12 min readJust now--Hello, Curious minds! If youre a developer, security professional, or just someone fascinated by how AI is taking over the world (in a good way, of course), youre in the right place! Today, were diving into one of the most critical aspects of artificial intelligence in 2025: securing Large Language Models (LLMs).Youve probably heard of OWASP, right? Well, in 2025, OWASP (Open Web Application Security Project) has released its Top 10 for LLM Applications to highlight the most critical security risks facing AI models. And guess what? Theyre not just for the tech geeks anymore; if youre building or using LLM-powered applications, understanding these vulnerabilities could save your project from being hacked or misused. So, lets break it all down, step by step.Get comfy, because were going to cover a ton of ground! By the end of this, youll be a pro at securing LLM applications, with clear examples, code snippets, and best practices that will help you get ahead of the game.The Importance of OWASP and LLMsFirst off, if youve never heard of OWASP, it stands for the Open Web Application Security Project, and theyre a global community focused on improving software security. Think of OWASP as the internets security watchdog they provide guidelines, resources, and tools to help developers build secure applications.Now, LLMs (Large Language Models) like GPT-4, GPT-5, or other language models have changed the game. These models are capable of understanding and generating human-like text based on huge datasets theyve been trained on. We see LLMs used in everything from chatbots, content generation tools, search engines, and even virtual assistants like Siri and Alexa.But, like any powerful technology, LLMs come with their own set of security concerns. This is why the OWASP Top 10 for LLM Applications in 2025 is so crucial. It helps developers, security professionals, and businesses understand the biggest threats to their AI systems, so they can mitigate the risks and build more secure, ethical AI models.Lets break down each of the Top 10 OWASP risks for LLMs in 2025, what they mean, and how you can
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