Cognitive Insight™

An independent research initiative developing cryptographically verifiable AI governance and audit frameworks compliant with the EU AI Act, NIST AI RMF, and ISO/IEC 42001.

Publications & Research Materials

CIAF + LCM: Cryptographic Audit Framework for Verifiable AI Governance

Comprehensive research disclosure covering the Cognitive Insight Audit Framework and Lazy Capsule Materialization (LCM) process, including technical specifications, regulatory compliance mappings, implementation guidelines, data structures, cryptographic proofs, and verification protocols for immutable AI audit trails.

Research Paper
Technical Spec
PDF

Verification Demo & Audit Trail Examples

Interactive demonstration of CIAF verification process with sample audit trails, cryptographic receipts, and compliance verification workflows.

Demo
JSON + Diagrams
View Demos

About the Researcher

James Greenwood is an independent researcher specializing in AI governance, cryptography, and regulatory compliance. Creator of the CIAF + LCM (Lazy Capsule Materialization) framework for verifiable AI audit trails and compliance verification.

Research focus areas include cryptographic verification protocols, privacy-preserving audit methods, and regulatory framework alignment for AI systems governance.

Research Collaboration

Interested in research collaboration, advisory roles, or academic partnerships? I welcome inquiries from institutions, organizations, and fellow researchers working on AI governance and compliance.

Contact for Collaboration