Can Auto-GPT Generate BigFix Content?
If you are a BigFix enthusiast, you may be interested in the ability to automate the creation of BigFix fixlets with Auto-GPT.
If you've been following me, you may be aware that I have blogged about Auto-GPT before and I wasn't thrilled with the results from my initial tests.
But I couldn't let it go. Much like BigFix, I've got some kind of passion for Auto-GPT and I need to spend more time with it.
Before I get into the project, I want to start with a shout out to James Stewart, aka JG Stew who, years ago, proved how to automatically generate BigFix content through a scripted solution. I saw him present this solution at IBM Think in Las Vegas years ago. James also wrote a great blog post about how to create BigFix content manually, from scratch. His generous support of the BigFix community and his tireless commitment to helping others be successful with BigFix inspired me to take on this project.
What I'm doing with Auto-GPT is to learn whether it can ultimately generate fixlet content for new vulnerabilities, particularly for areas that are outside the scope of what BigFix already delivers out of the box.
If I can get it to work, my next goals will be to put a front end on Auto-GPT (or something like it) to simplify the creation of BigFix remediation content, and to create a plug-in that will automatically publish approved content to a BigFix server.
What is Auto-GPT?
Auto-GPT is a powerful tool that leverages the latest advancements in artificial intelligence (AI) to help you automate simple tasks and streamline your workflow. Whether you're a developer, content creator, or busy professional, Auto-GPT claims it can help you save time, reduce errors, and improve your overall productivity.
In this series I'll provide a step-by-step guide on how to get started with Auto-GPT and use it, while I also give run throughs of my tests, the results, and the token costs to produce the content.
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