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Yashab alam

Founder ZehraSec • 2m

Thrilled to share a key milestone in the development of LEWIS (Linux Environment Working Intelligence System) – our AI-powered cybersecurity assistant! Today, I trained and saved our first threat detection model using a pipeline of TfidfVectorizer and LogisticRegression via scikit-learn. This model will help LEWIS analyze log data and detect potential security threats in real-time. Here’s what it includes: Custom dataset parsing from JSON logs Training/validation data split (80/20) A clean scikit-learn pipeline Exported .pkl model for seamless integration into LEWIS backend The best part? It’s just one of many ML components we’re integrating to make LEWIS smarter every day. Stay tuned as we continue developing advanced threat analysis, self-healing systems, and real-time cybersecurity automation – all from the command line to the cloud. If you're passionate about AI, security, or hacking tools – let’s connect!

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