NF-STD-001 — GRC & Security Standard Controls Mapping Matrix

Registry Reference: NF-STD-001
Author: NovaFuse Technologies
Date: July 2026
Version: 1.0.0
Classification: Public Reference Standard (Informative + Normative Hybrid)
Status: Draft Standard
Companion Publications:
  CS-WP-001 - Cyber-Safety: The Paradigm Shift
  CS-TR-001 - Operationalized Cyber-Safety: Runtime Admissibility Architecture
  NF-RA-001 - IDNA Reference Model

1. Scope

This standard defines a control mapping framework that aligns the NovaFuse Cyber-Safety architecture with external regulatory systems including NIST AI RMF 1.0, the EU AI Act, and sector-specific compliance regimes.

This document defines: * Normative control mappings (SHALL requirements) * System alignment structures (informative descriptions) * Crosswalk relationships between external standards and internal execution layers

2. Normative References

The following referenced documents are indispensable for the application of this document. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies.

• NIST AI RMF 1.0 — Artificial Intelligence Risk Management Framework
• EU AI Act — Regulation laying down harmonised rules on artificial intelligence
• CS-WP-001 — Cyber-Safety: The Paradigm Shift (NovaFuse Technologies)
• CS-TR-001 — Operationalized Cyber-Safety: Runtime Admissibility Architecture (NovaFuse Technologies)
• NF-RA-001 — IDNA Reference Model (NovaFuse Technologies)

3. Terms and Definitions

For the purposes of this document, the following terms and definitions apply.

3.1

Federated Invariant Composition Theorem (FICT)
A formal mathematical framework for composing and proving safety and compliance invariants across distributed nodes, ensuring that localized constraints aggregate into a globally coherent policy without logical contradiction.

3.2

Execution Capability Token (ECT)
A time-bounded, cryptographically signed authorization artifact required for executing high-stakes actions, issued only after runtime validation verifies compliance with active policy invariants.

3.3

Policy Hashing
A deterministic cryptographic process that binds a unique SHA-256 hash of the active policy set version directly to all downstream execution traces and decisions.

3.4

Federation Composition Certificate (FCC)
A cryptographically verifiable multi-signature document that aggregates compliance proofs from multiple governance nodes to demonstrate conformity to a policy epoch without disclosing internal details.

3.5

KetherNet
A secure, policy-aware distributed ledger system that maintains an immutable, chronological audit trail of execution logs and governance decisions.

4. Context of the Organization (System Positioning & Alignment)

4.1 System Positioning

NovaFuse Technologies provides a control-mapping architecture that translates regulatory intent into executable system constraints through a layered governance model.

4.2 Alignment to NIST AI RMF 1.0

NovaFuse is designed as an Executable Reference Implementation (ERI) aligned with the NIST AI RMF 1.0 control structure, translating the framework's core functions into deterministic, auditable controls:

5. Leadership and Governance Plane

5.1 Governance Responsibility

The organization's governance plane SHALL define, maintain, and publish the compliance invariants representing regulatory and internal policies.

5.2 Decoupled Planes

The system architecture SHALL maintain physical or logical separation between the execution plane (payload plane) and the governance plane (oversight plane) to ensure that the governance controls cannot be bypassed or modified by the execution environment.

6. Planning and Risk Assessment

6.1 Invariant Formulation

The system SHALL translate regulatory requirements and organizational risk tolerances into mathematical invariants.

6.2 Pre-execution Validation

A mathematical validation phase SHALL occur prior to deployment to verify that composed invariants do not contain logical conflicts or undefined execution states.

7. Support & Technical Controls (Control Definition Layer)

This clause defines the normative controls required by this standard.

7.1 CONTROL: CF-001 — Policy Hashing

• Type: Cryptographic Integrity Control
• Category: Measure Layer
• Definition: A deterministic hash binding between a policy version and all downstream execution decisions.
• Requirements:
  • The system SHALL generate a SHA-256 hash for every active policy set version.
  • The system SHALL bind the active policy hash to the execution trace of every action governed by that policy.
  • The execution plane SHALL refuse to process any payload that does not reference a valid, active policy hash.

7.2 CONTROL: CF-002 — Execution Capability Token (ECT)

• Type: Authorization Control
• Category: Manage Layer
• Definition: A time-bounded cryptographic authorization artifact required for execution.
• Requirements:
  • The system SHALL require a valid ECT for all designated critical actions.
  • The ECT SHALL be time-bounded, with a validity period not exceeding an implementation-specified duration.
  • The ECT SHALL be cryptographically signed by the governance plane.
  • The execution plane SHALL refuse to execute any action if the accompanying ECT is expired, missing, or has an invalid signature.

7.3 CONTROL: CF-003 — Federated Invariant Composition Theorem (FICT)

• Type: Mathematical Governance Control
• Category: Foundations Layer
• Definition: Formal verification framework to compose and prove safety/compliance invariants across distributed nodes.
• Requirements:
  • The governance plane SHALL formally encode compliance requirements as mathematical invariants.
  • The system SHALL mathematically prove that the composed invariants contain no contradictions before system initialization.
  • Any proposed policy update SHALL undergo the same composition and consistency proof before being committed as a new epoch.

7.4 CONTROL: CF-004 — Federation Composition Certificate (FCC)

• Type: Audit and Accountability Control
• Category: Govern Layer
• Definition: A cryptographically verifiable multi-signature document aggregating compliance proofs from multiple governance nodes.
• Requirements:
  • The system SHALL generate an FCC to prove compliance across multiple distributed nodes.
  • The FCC SHALL contain the cryptographic signatures of all validating nodes.
  • The FCC SHALL be verifiable by external auditors without exposing the underlying private payload or state data.

7.5 CONTROL: CF-005 — KetherNet Ledger

• Type: Distributed Ledger Control
• Category: Traceability Layer
• Definition: A secure, policy-aware distributed ledger maintaining an immutable audit trail of execution traces and governance decisions.
• Requirements:
  • The system SHALL record all execution traces, ECT issues, and FCCs to the KetherNet ledger.
  • The ledger SHALL enforce write privileges, restricting block validation to authorized validator nodes.
  • Informative system behavior: In standard deployments, validation of ledger transactions may be restricted to high-integrity validator nodes satisfying specific trust thresholds (see Annex A).

8. Operation and Runtime Enforcement

8.1 Runtime Action Gating

All critical actions attempt to cross a defined Release Boundary. The system SHALL intercept these actions in real time and evaluate them against active policy invariants. * If the action satisfies the invariants, the governance plane SHALL issue an ECT allowing execution. * If the action violates any invariant, the system SHALL refuse the action, log the refusal, and prevent execution.

8.2 Spatial Isolation

The system SHALL isolate model updates and data management in controlled environments. No model update or data access SHALL cross the Release Boundary without a valid ECT.

8.3 EU AI Act Alignment

The following controls are designed to support compliance with requirements under the EU AI Act for high-risk AI systems: * Transparency & Alignment (NovaAlign): The system SHALL enforce ethically and legally grounded constraints on inputs and outputs. * Traceability (KetherNet): The system SHALL maintain an immutable audit trail of all AI decisions, inputs, and outputs. * Technical Documentation: The system SHALL automatically generate and update machine-readable compliance bundles containing versioned policies, cryptographic signatures, and state snapshots.

9. Performance Evaluation and Audit

9.1 Continuous Compliance Monitoring

The system SHALL continuously monitor compliance and configuration states against the active policy hash.

9.2 Audit Log Generation

The system SHALL automatically generate machine-readable compliance documentation and audit artifacts containing versioned policies, cryptographic signatures, and execution traces.

10. Improvement

10.1 Invariant Optimization

The organization SHALL review invariant violations, execution refusals, and audit findings to optimize policy definitions.

10.2 Policy Epoch Transition

When a policy update is approved, the system SHALL transition to a new policy epoch by generating a new policy hash, verifying invariant composition via FICT, and publishing the update across the governance plane.

Annex A (Normative)

Implementation-Specific Parameters and Limits

This annex defines parameters and limits that are implementation-specific. While these parameters are necessary for operations, their specific numerical thresholds are determined by the deployment environment and are not fixed by the core standard.

A.1 Coherence Ceiling Limit

The confidence interval used as the limit for acceptable AI outputs (e.g., the threshold for acceptable variance or output deviation) is implementation-specific. * Reference Implementation Parameter: Standard deployments may utilize a 3-Sigma Coherence Ceiling (99.73% confidence interval). Output evaluations falling outside this range SHALL trigger an immediate refusal.

A.2 Validator Node Trust Scores

The trust score threshold required for a node to be designated as an authorized validator on KetherNet is implementation-specific. * Reference Implementation Parameter: Standard deployments may require validator nodes to maintain a trust score above a set threshold (e.g., a UUFT score $\ge 2847$).

A.3 Transaction Finality Latency

The time limit within which transaction gating and finality must be established is implementation-specific. * Reference Implementation Parameter: Standard deployments aiming for real-time compliance enforcement may target a sub-second transaction settlement finality (e.g., ~0.4s).

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