Algorithm Catalog — Fraud, AI, and ML (Phase 0→1, with Phase 2 Roadmap)
This catalog contains the fraud detection, AI, and machine learning algorithms planned and deployed for CHLOM’s Compliance-as-a-Service (CaaS) and Tokenized Licensing-as-a-Service (TLaaS) framework.
Algorithm Docs (Pre‑Filled) + Starter Code Stubs — Phase 0→1
This document extends the Algorithm Catalog with pre‑filled algorithm documentation for key codenames and starter code stubs (Rust + Python gRPC) so engineering can begin implementation immediately.
CHLOM Phase 0→1 — Master Technical Documentation Index
All referenced docs are stored in secure, access‑controlled repositories under the CHLOM internal doc namespace. Each has a canonical name as listed above.
CHLOM™ Phase 0 Master Document — AI, ML, Compliance Frameworks & Algorithms
Establish the AI-driven compliance, fraud detection, and CaaS (Compliance-as-a-Service) backbone that powers all future phases of CHLOM™.
Model Card Template — CHLOM Phase 0→1
Predict compliance risk score using entity features, sanctions data, and optional ZK verification results.
Risk & Bias Assessment (RBA) — CHLOM Phase 0→1
Bias Detection Methods
SRE Playbook — CHLOM Phase 0→1
Compliance Engine (CE), ZKP Verifier (ZKV), API Gateway,
Security & Threat Model (STM) — Template + Pre‑Fill (Phase 0→1)
Threat Modeling Methodology
TLaaS Contract API & Governance Addendum — CHLOM Phase 0→1
The TLaaS contract exposes methods for license lifecycle management, dispute resolution, and compliance gating via AegisScore + ZK proofs.