# Why local models matter for security

> Understanding the importance of local models in security is crucial for data and AI engineers. This lesson explores the benefits of using local models over cloud-based solutions, particularly in sensitive environments where data privacy is paramount. Participants will learn about model training, fi…

- Web page: https://learn.thecyberinstructor.com/lesson/why-local-models-matter-for-security-6071
- Program: [AI for Cybersecurity (Sept 2026)](https://learn.thecyberinstructor.com/program/ai-for-cybersecurity-8168.md)
- Access: Requires enrollment in AI for Cybersecurity (Sept 2026)
- Length: 2 h 3 min video
- Skills: Python, NLP, MLOps, LLMs, Data Modeling, Problem Solving
- Academy: The Cyber Instructor

## About this lesson

Understanding the importance of local models in security is crucial for data and AI engineers. This lesson explores the benefits of using local models over cloud-based solutions, particularly in sensitive environments where data privacy is paramount. Participants will learn about model training, fine-tuning techniques, and tools such as Olama and Hugging Face, enabling them to implement effective local models for cybersecurity tasks. This session is ideal for professionals looking to enhance their skills in secure AI applications.

## Navigation

- Previous lesson: [AI threat landscape](https://learn.thecyberinstructor.com/lesson/ai-threat-landscape-2248.md)
- Next lesson: [Running open-source LLMs locally](https://learn.thecyberinstructor.com/lesson/running-open-source-llms-locally-3663.md)