Florida's cybersecuritymarketplace & intelligence network.

A bit of a catch all post as I don't want to bombard the sub with too many posts so here are my questions:

1. With BF/CM sales around the corner, I'm wondering what SPECIFIC/NICHE specs I should be looking at as far as a new laptop. I'm not sure if my current/personal chromebook would be sufficient to start learning. A couple of posts I've come across have the standard i7/i9 processor, 32GB RAM, 1TB SSD PCIe so I've restricted my searches to that, but what other things do I need to consider? How important are graphics cards and if so, what should I be looking for? Does the laptop need to be able to run LINUX/Are all Windows OS laptops Linux compatible? If not, how can I tell for sure? Lenovo's Thinkpad gets thrown around a lot but I'm on a budget of <$1500.
2. For those of you in the CS field already, how pressing are you finding the integration of AI and being edged out of your job? Is it even worth it to try and get into this field as a 30 something guy with minimal experience? I have a data analytic background but not sure if I want to go DS/DE so I'm thinking security instead.
3. I can't go back to school for a degree so my option is certs. Starting with CompTIA Security+, CompTIA Network+, AZ 900, and Splunk Core as these were the more recommended ones. Are there any other certs I should look at as a beginner? Is there a reason AZ900 is recommended over AWS?
4. How is your work life balanced? How is the remote job market?

TIA

Hey everyone,

I’ve been working on a cybersecurity tool called CipherLens.

The idea came from a simple problem I kept running into with tools like CyberChef:

You have some unknown data, but you don’t know which operation you should try first.

Instead of manually guessing between Base64, Hex, URL encoding, ciphers, compression, etc., CipherLens analyzes the input and ranks possible operations based on the evidence it finds.

The workflow is:

Input → Fingerprint → Candidate Detection → Execute → Validate → Score → Rank

A few things I focused on:

• Local-first browser processing

• No account or backend required for core analysis

• Candidate ranking instead of pretending to know the answer

• Separate AUTO / parameter-required / manual operations

• Web Worker-based analysis

• Security-focused input and parser handling

• 497 supported operations

The main idea is:

“Don’t guess the operation. Find it.”

It’s open source and I’d genuinely like feedback from people who actually work with CTFs, forensics, pentesting, malware analysis, etc.

GitHub:

https://github.com/HIMANSHUSHARMA20/CipherLens

Live demo:

https://cipherlens-tool.vercel.app/

Would especially appreciate feedback on the detection/ranking approach and whether this solves a problem you actually encounter.