From the course: The AI-Driven Cybersecurity Analyst
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Running AI offline and locally
From the course: The AI-Driven Cybersecurity Analyst
Running AI offline and locally
- [Instructor] By now, I hope I've convinced you that AI can be a powerful copilot for cybersecurity analysts, but maybe you're concerned about data privacy, or perhaps your company's generative AI policy restricts tools like ChatGPT. If that's the case, running AI locally might be the answer. In this video, I'll walk you through what local AI tools are and why they matter, open-source LLMs worth exploring, and how to optimize an offline AI model for your needs. Let's dive in. So, what's a local AI tool? A local AI tool lets you harness the power of AI without sending data to a third party. When you use tools like ChatGPT, you're interacting with cloud-based AI models over the internet. While convenient, this raises concerns about privacy and security, but there's good news. You don't have to rely on online or paid AI tools as a cybersecurity analyst. It's surprisingly easy to download a pre-trained LLM onto your laptop, a private server, or even a secure cloud instance. Platforms…
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Contents
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Prompt engineering and productivity tips for cybersecurity analysts3m 4s
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Advanced prompt engineering and productivity tips3m 53s
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Using AI ethically and securely in cybersecurity, part 12m 50s
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Using AI ethically and securely in cybersecurity, part 23m 4s
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Running AI offline and locally3m 4s
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Threat actors use of AI2m 8s
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Threat detection with AI2m 46s
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Improve security reporting using AI3m 42s
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AI-driven threat intelligence2m 46s
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LLM-driven honeypots2m 14s
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