Artificial Intelligence is transforming businesses, but it also brings security risks. AI applications can face threats such as prompt injection, data leakage, and unauthorized access. AI Security & Guardrails Training helps learners understand these risks, protect sensitive information, and build secure, reliable Generative AI, LLM, and RAG applications.
AI applications handle sensitive business and customer information, making security an important part of AI development. Without proper protection, these systems may face data leaks, unauthorized access, and misuse. AI security helps protect private information, reduce risks, improve response safety, and build trust in AI applications
Large Language Models (LLMs) are AI models that understand questions and generate answers. Tools like AI chatbots use these models to talk with people, answer questions, and help with different tasks. However, these models can also be tricked by harmful instructions or unsafe inputs. LLM Security Training helps learners understand how to protect these models. It covers simple security methods such as checking user inputs, protecting private data, limiting access, and testing AI responses. These steps help make AI tools safer and more useful.
Generative AI Security focuses on protecting AI applications from data leaks, unauthorized access, prompt injection attacks, and security threats. Generative AI Security Training teaches practical techniques to identify vulnerabilities, implement security controls, and protect LLM and RAG applications.
AI Guardrails are rules and controls that guide AI behaviour, prevent harmful outputs, protect sensitive information, and ensure safe AI responses. AI Security & Guardrails Course helps professionals implement effective guardrails and build secure, reliable Generative AI, LLM, and RAG applications.
RAG stands for Retrieval-Augmented Generation. It helps AI find information from documents, files, and databases before giving an answer. For example, a company may connect its AI chatbot to internal documents. Employees can ask questions and get answers from those documents. But there is a risk. If the system does not check user permissions, someone may see information they should not access. RAG Security Training teaches how to protect these documents and keep information safe. Some important practices include checking document access, protecting databases, filtering information, and testing for data leaks.
LLM Application Security focuses on protecting AI-powered applications, models, APIs, databases, and user interfaces from security threats. LLM Security Training helps learners understand secure authentication, input validation, access control, API security, sensitive data protection, and application monitoring. These practices help prevent unauthorized access, data leaks, and vulnerabilities while building secure and reliable LLM and Generative AI applications.
Prompt injection happens when someone gives an AI tool harmful instructions to make it ignore its normal rules. For example, a person may ask a company chatbot to ignore its instructions and show private customer information. Prompt Injection Prevention focuses on reducing this type of attack. Developers can use input checks, clear system instructions, access controls, and output checks to reduce the risk. They should also test the chatbot with different types of harmful prompts.
AI Red Teaming helps identify security vulnerabilities in AI applications by testing them from an attacker's perspective. AI Red Teaming Training teaches how to identify prompt injection attacks, bypass AI safety controls, detect data leaks, test LLM security, and prevent unauthorized access. It helps organizations strengthen AI security, reduce risks, and build safer, more reliable Generative AI applications.
Learning AI safety can help developers build better applications. It also helps security teams understand how AI attacks work and how to prevent them. An AI Guardrails Course may cover the following topics:
These topics are useful for beginners, developers, AI engineers, and cybersecurity professionals.
Visualpath offers expert-led AI Security Training with live online classes, hands-on Training, and real-time projects. Learn AI security, LLM protection, prompt injection prevention, RAG security, and AI guardrails from experienced trainers. We provide flexible Online Training for learners and customized corporate training for teams. Gain practical knowledge, improve your technical skills, and learn to build safer AI applications with industry-focused guidance.
