Hey everyone 👋

I’ve been developing a new kind of code security analyzer called MORPHEUS — it’s powered by a morphing neural network (M-Net) that actually adapts its internal structure when it encounters new vulnerability patterns.

Unlike traditional static analyzers, MORPHEUS continuously learns from false positives/negatives and retrains itself using data from the NVD, OWASP, and GitHub patch commits.

🧠 Core Highlights

• Adaptive learning engine that evolves in real time
• Explainable AI — every neuron maps to a security pattern
• Multi-language support: Python, JavaScript, Java, Go, Rust
• 60% fewer false positives compared to Bandit / Semgrep in early tests
• OWASP Top 10 coverage with detailed remediation guidance

💡 Looking for Beta Testers

We’re inviting security engineers, researchers, and developers to test the web deployment and help validate:

• Detection accuracy vs. traditional SAST tools
• False positive reduction
• Usefulness of the explainable vulnerability reports

🧩 Live Demo: morpheus-security.ai

You can try scanning a small repo or snippet — results appear instantly with risk scores and remediation hints.
All feedback (good or bad!) is welcome — I’ll be around to answer questions in the comments.

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MORPHEUS: Morphing Omni-Responsive Protection Heuristic Engine for Universal Security