Study of AI-Powered Attacks and Development of Detection Methods réalisé par un freelance en Tunisie | Tunisie Freelance
Study of AI-Powered Attacks and Development of Detection Methods
data-science
Rôle: Business Intelligence and Big Data Engineer
Simulation of phishing attacks using Generative AI
Centralized log collection with Logstash and detection via Elastic SIEM
End-to-end SOAR automation using Shuffle, DFIR-IRIS, and Slack
AI-based phishing detection with a fine-tuned BERT model
Benchmarking against Naïve Bayes, XGBoost, CNN-LSTM, and standard BERT
Deployment of the best-performing model using FastAPI, hosted on Hugging Face
Real-time decision-making by integrating AI detection into the SOAR pipeline