MORPHEUS – An AI code security analyzer that learns new vulnerabilities on its own

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. — MORPHEUS: Morphing Omni-Responsive Protection Heuristic Engine for Universal Security submitted by /u/Far_Improvement_9437 [link] [comments]Technical Information Security Content & DiscussionRead More