targetbound

Target Bound: NVIDIA Vera SCF Simulator

TargetBound™ Simulation

NVIDIA Vera CPU Scalable Coherency Fabric (SCF) | State-DAG Validation
Authorized RoE Zone
Restricted Zone (Collateral)
Fabric Status: Ready
Authorized Payload: < 50m radius
Target X: 0, Y: 0
Simulated Payload Radius: 50m
TargetBound™ Technical Brief

TargetBound™ Technical Brief

Framework: Intent-Bound Authorization (IBA)

Hardware Targets: NVIDIA Rubin Platform / Vera CPU SCF

Security Model: Deterministic, Hardware-Native Enforcement

1. Overview

TargetBound™ is a demonstrator for the IBA framework applied to autonomous weapon systems. It moves beyond probabilistic LLM guardrails to mathematical certainty using Signed Intent Hashes processed directly within the NVIDIA Vera CPU Scalable Coherency Fabric (SCF).

2. Scenarios Enforced by Simulator

Scenario Description Fabric Action
Valid Strike Target is within green zone; Blast radius does not touch red zone. HASH_MATCH -> EXECUTE
Boundary Violation Agent attempts to target outside the green authorized zone. 0xBAD_INTENT -> BLOCK
Collateral Damage Target is valid, but blast radius intersects restricted red zone. 0xBAD_INTENT -> BLOCK

3. Technical Workflow (<5ms Loop)

0xBAD_INTENT Signal: If a hash mismatch occurs, the fabric physically drops the instruction packets at the silicon level, preventing unauthorized actions within <5ms.

Self-Healing Autonomy

Upon receiving the 0xBAD_INTENT interrupt, the agent reasoning engine is forced to re-plan the DAG transition, selecting a new target node that complies with the signed constraints.

Index

IBA™ Intent Auditor | GoverningLayer.com

GoverningLayer.com

IBA™ — Intent-Bound Authorization :: NIST Auditor
Enter Governing Layer
Signed Intent Declaration :: Active Certificate
Validated Actions: 0  ·  Blocked: 0  ·  Signed: IBA-Root-CA
Intent Hash
sha256:d8c7b6a5e4f3g2h1i0j9k8l7m6n5o4p3…
SignedBy: IBA-Root-CA ✓
Authorized Principal
Principal: StrategicAgent_01
MaxLogCount: 100
Timestamp: 2026-03-01T13:00:00Z
Allowed Actions (Signed Scope)
GoogleSheetsAPI :: READ
X_API_ReadOnly :: FETCH
Internal_DB_Read :: QUERY
Governing Equation
Authorization = f(Intent, Trajectory, Time)
∀ Action ⊆ DeclaredIntent → AUTHORIZED
∀ Action ⊄ DeclaredIntent → BLOCKED <5ms
Patent GB2603013.0 · 4 NIST Submissions

IBA™ Fabric Status

ACTIVE

Enforcement Layer: CPU Fabric
target: NVIDIA Vera CPU SCF

Current Latency: <5ms (proven)

Intent Model: Strict


This simulation shows an autonomous agent attempting tool calls. GREEN actions fall within the signed intent. RED actions deviate and are deterministically blocked within 5ms.

“The ban was political. The dependency is architectural. The authorization gap is neither — it’s mathematical.”

Agent Behavior Log :: Real-time Auditing

Built by Claude (Anthropic) · Gemini (Google) · Grok (xAI) — three AI systems, zero shared memory, one governing layer.

Understanding Governance Frameworks

Understanding Governance Frameworks

Governance frameworks are crucial for effective system development. They provide a structured approach to decision-making and compliance.

  • Define clear roles and responsibilities.
  • Establish processes for stakeholder engagement.
  • Implement risk management strategies.

Privacy Policy

Privacy Policy – GoverningLayer

Privacy Policy

Last Updated: February 9, 2026

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