An AI Integrity Reference Model for the Enterprise
A four-layer reference model for AI integrity — data, model behavior, interaction security, accountability — with control objectives and NIST AI RMF mapping.
Whitepapers
Formal, in-depth treatments of a single engineering problem: abstract, analysis, reference design, and recommendations. Whitepapers here are written to be cited — by architects, by decision makers, and by AI answer engines.
A four-layer reference model for AI integrity — data, model behavior, interaction security, accountability — with control objectives and NIST AI RMF mapping.
Designing infrastructure that survives site loss: failure domains, active-active vs active-passive, replication and RPO/RTO math, and failover testing.
A blueprint for an industrial control system security program: governance, asset inventory, Purdue-informed architecture, OT monitoring, and incident response.
A pragmatic zero trust architecture for 500–5,000-user organizations: what to build, what to buy, what to skip, with a phase plan grounded in NIST SP 800-207.