Amagi-NIPU v1.0: Neuro-Immune Processing Unit for Ethical, High-Assurance AI Systems

The Amagi-TTP Neuro-Immune Processing Unit (NIPU) v1.0 is a specification for a computational organism designed exclusively for ethical, high-assurance AI systems. Built upon and enforcing the six Core Principles of the Amagi Framework v1.0, NIPU fundamentally rejects the performance-first model of traditional CPU/GPU architectures, prioritizing structural safety, auditability, and structural compliance for consequence-aware intelligence. The system is designed to sleep by default, activate only on verified triggers, and defend itself like a neuro-immune system. Built on the TTP principle (Trigger → Programmable Delay → Localized Activation), NIPU enforces these principles via physical isolation and cryptographic root-of-trust components: Security Council Core (SCC): Hardware Root of Trust and Policy Enforcement Engine. Trigger–Delay Fabric (TDF): Implements time-delay as a security primitive (1 ns → 1 s). Isolated Clusters: Physically separated Analytical, Generative, Communicative, and Executive cores. Intercluster Communication Graph (ICG): OTP-stored, cryptographically signed flow matrix. Key Guarantee: NIPU ensures that unsafe or unauthorized computation cannot occur — not even in theory. This architecture is specified for deployment in life-critical and mission-critical domains, including medical implants, autonomous agents with real-world authority, and critical infrastructure control systems. This component, a foundational element for achieving Architectural, Guaranteed Integrity (A.G.I.), is commercially supported and certified exclusively by AGIAM Technologies, as defined in its Founding Charter (DOI: 10.5281/zenodo.17719569). System Architecture and Consolidation This component is part of the Amagi Triad and is related to the following architectural and consolidated works: Amagi Framework v1.0 (Principles and Law): DOI 10.5281/zenodo.17679248 Amagi-MEM v1.0 (Memory Architecture): DOI 10.5281/zenodo.17679327 Amagi Framework v1.4 (Final Scientific Article): DOI 10.5281/zenodo.17849595 This specification is published under the CC BY-NC 4.0 license for non-commercial research use. Any commercial implementation or Derivative Architecture requires a valid license under the Strict Architectural Principle License (S-APL), governed by the laws of England and Wales.