AI+Cyber for 2026
This IS your competitive advantage
Hello, Hoodies!
The market is ROUGH. In a weird way. Job posting numbers are high. So is unemployment.
But the market is far from dead. If companies want to keep operating (and they do - let’s not forget “THE DOW IS OVER $50,000!”) then they NEED to keep hiring and growing. That’s how the machine is built.
This is not an econ class, and most economists don’t know anything anyway, BUT the fact of the matter is for an economy to stay strong, growth needs to occur.
Companies want to keep growing year over year, and that happens in two ways:
Increasing revenue
Reducing expenses
Preferably, both.
Currently, companies are playing with the idea of augmenting their workflows with AI. But it’s far from successful or profitable at scale in the vast majority of cases. (SMBs actually benefit the most from these cheap “nuisance business” solutions - but not critical infrastructure. Think sales cycle augmentation, AI chat bot closers, etc)
So, why should you care?
Because those who don’t know AI will be replaced by someone who does.
CYBER is still alive and well. But the demands are changing. The expectations are changing. Companies are afraid of AI and what it will do to their business. Which is why they’re desperately tying to inject it into everything.
Cyber is no different. So to be competitive, you should be aiming to know how to use AI in your professional life to show that YOU are the future the company needs.
So let’s learn how.
This will not be a technical breakdown of these - that’s for future posts. This should give you ideas to start implementing TODAY.
I’ve created a list of 3 ways, from simple to complex for making you a stacked candidate.
1. Make your own agents in ChatGPT
This example was so easy that it actually took me more time to get the GPT to make the logo and for me to take the screenshots than to just make the asset. Try it for yourself here.
This is, by far, the easiest and one of the most effective.
There are a million pieces on agent theory on the internet, this is what works for me in most use cases:
Simple instruction set
Supporting artifacts attached as knowledge bases
PROS: quick, easy, powerful, only cost $20/mo for ChatGPT Plus
CONS: NO SENSITIVE DATA (or at least you shouldn’t use sensitive data for this)
2. Running local models with expert prompting
Powerful and surprisingly robust, using Ollama to run local models doesn’t give you the same simple “attach document” advantages that Chat can give you, BUT it’s local and CAN handle sensitive data. UPDATE: You CAN add assets to your LLM via modelfiles, but that’s a discussion for another day.
PROS: CAN take sensitive data
CONS: Harder to set up and get right
3. Running local model APIs
THIS is the crown jewel of AI for sensitive corporate data.
Make Ollama model in the cloud
Use API to talk to it
Have it help to make decisions with autonomous alerting
AI Network detection using ChatGPT? Bad (unless done very cleanly with scrubbed data)
AI Network detection with local model? Awesome. And companies know it.
How many people applying for jobs today can engineer an autonomous AI detection? NOT MANY
THAT’S YOUR EDGE
To be clear:
Do you need this? No.
BUT will it make it EASIER for you to get a job? YES
That’s the difference.
Stay tuned because we have some big announcements in the works. Things to help you learn AI for cyber.
Ready to get started on your journey? Just reply to this email and I’ll reach out personally.
Talk soon,
Evan Lutz (BowTiedCyber)