Security in motion and at rest — built in Python 🛡️ I built Sec-Toolkit, a two-layer security to...Security in motion and at rest — built in Python 🛡️ I built Sec-Toolkit, a two-layer security to...
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Security in motion and at rest — built in Python 🛡️
I built Sec-Toolkit, a two-layer security tool designed to keep data
safe everywhere it goes:
🔹In-Transit:
Verifies request signatures, validates user tokens, and checks web
security headers.
🔹At-Rest:
Encrypts sensitive files using AES and creates SHA-256 fingerprints
to ensure nothing has been tampered with.
It also includes automated checks using local AI, built with a clean
terminal interface for a smooth developer experience.
#Python | #CyberSecurity | #Coding
| #SoftwareEngineering | #DataProtection |#AppSec | #DevTools
Logging every cleaning action is the part I like most: when a number in the report looks strange, you can follow it back to the fix that changed it. With 585 issues, how did you decide which ones the script fixes alone and which ones it only reports?