FIJISHI // AI AUDITABILITY & COMPLIANCE FRAMEWORK

STATUS: Validation Phase | CLASSIFICATION: Fijishi Restricted

Executive Context
The framework ensures cryptographically-verifiable AI compliance without disrupting existing systems. It operationalizes AI oversight in financial, defense, and critical infrastructure environments while maintaining sovereign control over sensitive data.

1.0 Core Capabilities
AAC-001: Input/Output Attestation - Logs AI inputs and outputs with cryptographically-secure timestamps.

Status: Pilot with [Redacted] Central Bank.

AAC-002: Transparency Layer - Provides objective verification of AI decisions for regulators.

Status: Architectural Standard; aligns with NIST AI RMF 1.0.

AAC-003: Risk & Event Audit - Cross-system logging for operational and compliance review.

Status: Validation Phase.
2.0 Technical Implementation
Deployment Model: Operates as a sidecar container or API gateway; intercepts AI I/O without refactoring core systems.

Cryptographic Foundation: Leverages Fijishi Quantum-Resilient Infrastructure for non-repudiable attestations.

Data Handling: Logs stored in client-owned secure enclaves or sovereign-managed instances, ensuring no extrajurisdictional exposure.

Integration: Fully interoperable with AI Continuity (Magnum Charter), Quantum Resilience, and Cyber-Physical Forensics frameworks.
3.0 Integration Path
‣ Embeds into critical infrastructure, financial transaction systems, and AI governance platforms.

‣ Compatible with regulatory frameworks, including EU AI Act, NIST AI RMF, and NATO ACT AI Strategy.
4.0 Pilot Engagement
[Redacted] Central Bank -180-day operational pilot.

[Redacted] Defense Directorate -Cross-domain AI auditing test.
5.0 Access Protocol
License Type: Sovereign Evaluation & Integration License.

Eligibility: Government entities and vetted institutional partners; FI-NDA-2025 required.

Engagement Path: Formal requests must originate from verified organizational domains.

Contact: protocol@fijishi.com
Sovereign Note
This framework replaces subjective compliance with objective, cryptographic proof, operationalizing AI oversight while respecting jurisdictional boundaries.

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