The Challenge#
Manual penetration testing is slow and repetitive. Security teams need automated tools that can adapt and learn from previous test results.
The Solution#
Developed an AI-driven scanner that generates fuzzing commands dynamically and uses NLP to interpret terminal outputs, running multiple test cases automatically.
Key Achievement#
Automated 80% of routine security testing, discovering vulnerabilities 5x faster than traditional manual methods.
Technologies Used#
Python, AI/ML, NLP, NLU, Nuclei, Penetration Testing Tools