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Neural Asset Intelligence System modeling adversarial credential extraction in supply chains. Features Hierarchical Model Clearance System (HMCS) and Distributed Leviathan Architecture for defensive security research.
Canonical source repository for building, testing, and evolving reusable IT audit capabilities across IAM, compliance, network security, privacy, hardware, application security, and audit leadership.
An AI-powered CLI tool designed to automate the documentation of IT General Controls (ITGC) Design & Implementation (D&I) reviews. Utilises Claude’s multimodal vision to analyse evidence, perform gap analysis against tailored procedures, and generate professional, Power BI-ready Excel workpapers.
AI-assisted forensic AP review for healthcare finance. Detects ghost vendors, FX/IAS 21 misallocations, split-PO patterns, and duplicate invoices, then generates AU-C 240/IAS 21 audit memos via Claude. Built with Streamlit + Python.
This Python script generates a dataset of fake financial transactions, designed for audit training and testing purposes. It creates a CSV file containing a mix of normal transactions and various types of irregularities, ranging from simple anomalies to sophisticated patterns that require advanced analytical techniques to detect.