KOSASIH/quantum-sentinel
Quantum Sentinel is an advanced cybersecurity framework that utilizes quantum key distribution and AI-driven threat detection to provide unparalleled protection for sensitive data.
Quantum Sentinel is a cybersecurity framework that uses quantum key distribution and AI to protect sensitive data. It takes network traffic and system logs as input to identify unusual activity and potential threats, providing real-time alerts and detailed security reports. Chief Information Security Officers (CISOs), security analysts, and IT managers would use this to bolster their organization's defenses.
Use this if you need to implement advanced, future-proof cybersecurity measures, including quantum encryption and AI-driven threat detection, to protect critical data and infrastructure.
Not ideal if you are looking for a simple antivirus solution or a basic firewall for a personal computer.
Stars
24
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/KOSASIH/quantum-sentinel"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SAP/credential-digger
A Github scanning tool that identifies hardcoded credentials while filtering the false positive...
mkearney/tweetbotornot
🤖 R package for detecting Twitter bots via machine learning
jubins/MachineLearning-Detecting-Twitter-Bots
Custom classification algorithm to sense the bots vs human on social media space like twitter
mahostar/EasyShield_v2.5
EasyShield Anti Spoofing AI Model for edge devices (State-of-the-art) performance (Open Source)...
slowmist/automatic-tron-address-clustering
We use machine learning and graph algorithms to analyze the attributes of TRON addresses with...