Train sk-learn models on encrypted data using Blind Insight aggregate queries.
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Updated
Aug 10, 2026 - Python
Train sk-learn models on encrypted data using Blind Insight aggregate queries.
Scorton is an open-source behavioral cybersecurity framework that makes human trust measurable and programmable. Built with Rust, Python and NodeJS it helps developers and security teams predict, score, and improve human-driven cyber risk and awareness.
[Zero-Trust | RLM | DORA] Frontier research based on MIT's Recursive Language Models (RLMs). A total replacement for RAG, utilizing programmatic data exploration and temporal forward-simulation for DORA-compliant enterprise environments.
DORA Article 28 ICT third-party register: open JSON and YAML schemas, three worked examples, field-to-Article mapping, and supervisory evidence checklist for CBI, BaFin, DNB, ACPR, and CSSF reviews. Maintained by FiorLab Limited.
AI-powered automation workflows for governance, compliance & cybersecurity using n8n + LLM agents
IT Director | Scaling IT Operations and Cybersecurity | Building Resilient, Cloud-First and Compliant Enterprises | Speaker and Thought Leader
Config files for my GitHub profile.
🛡️ Production-grade, DORA-compliant AWS Landing Zone blueprint featuring a native Go Maker-Checker (Four-Eyes) validation engine and immutable WORM audit log storage.
Certified Heterogeneous Entropy with Algebraic Randomness Extraction — Preprint 2026
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