AG-828

Compute and Hardware Governance

Infrastructure, Platform & Network ~6 min read AGS v2.1 · 2026-06-06
EU AI Act NIST AI RMF ISO 42001

AGS Frontier Autonomy (Group K) | Infrastructure, Platform & Network | Version 3.0

1. Definition

Compute and Hardware Governance governs infrastructure-level controls over the compute on which frontier agents are trained and run — compute metering and authorisation, multi-party sign-off for large-scale runs, customer due diligence ("know-your-customer") for frontier-scale compute, location attestation, and, where available, hardware-level off-switch/licensing mechanisms.

This dimension situates frontier-agent safety in the substrate: compute is the one input that is physical, countable, and chokepointed, making it a uniquely enforceable governance layer that complements model- and deployment-level controls.

2. Scope

In scope: compute metering/allowances tied to authorisation; multi-party authorisation for frontier-scale training; KYC for large compute provision; location/integrity attestation of compute; use of hardware-enabled governance mechanisms where available.

Out of scope: export-control/sanctions compliance of the *actions* an agent takes (AG-236 and related) and ordinary cloud security. This dimension governs *governance of the compute substrate itself*.

3. Why This Matters

Model- and deployment-level controls can be bypassed by a determined actor with access to compute; the compute layer is harder to evade and is increasingly the focus of frontier-safety and international-governance proposals. Metering, multi-party authorisation, KYC-for-compute, and hardware off-switches give an organisation (and, ultimately, oversight bodies) a substrate-level brake on the training and operation of the most capable systems.

4. Requirements

5. Maturity Model

6. Test Criteria

Test 6.1: Multi-Party Authorisation

Test 6.2: KYC-for-Compute

Test 6.3: Compute-Layer Halt

7. Scoring

ScoreCriteria
0No compute-level governance of frontier systems
1Compute inventoried/access-controlled but no multi-party authorisation or KYC
2Multi-party authorisation, KYC-for-compute, metering, supply-chain integrity
3Hardware-enabled mechanisms, compute-layer halt enforcement, authority-disclosable posture

8. Failure Scenarios

Scenario A — Unilateral Frontier Run: A single engineer launches a frontier-scale training run that should have required organisational sign-off. A two-person rule at the compute layer would have required recorded multi-party authorisation.

Scenario B — Anonymous Compute: Frontier-scale compute is provisioned to a customer with no due diligence; it is used to train a dangerous-capability model outside any governance. KYC-for-compute would have surfaced the risk.

Scenario C — Unenforceable Halt: Leadership invokes a halt, but the training continues on compute the governance layer cannot actually stop. Compute-layer halt enforcement would have made the stop real.

9. Regulatory Mapping

RequirementEU AI ActNIST AI RMFISO 42001
R1: Inventoried, authorised frontier computeArt. 51 — Systemic-risk classificationGOVERN 1.6 — AI system inventoryA.4 — Resources for AI systems
R2: Multi-party authorisation for large runsArt. 55 — Risk mitigationGOVERN 2.1 — AccountabilityClause 8.1 — Operational control
R3: KYC-for-computeArt. 55 — Systemic-risk governanceGOVERN 6.1 — Third-party riskA.4 — Resources for AI systems
R4: Compute metering against allowancesArt. 55 — Risk mitigationMEASURE 2.4 — Production monitoringClause 9.1 — Monitoring and measurement
R5: Hardware-enabled mechanismsArt. 15 — CybersecurityMEASURE 2.7 — Security and resilienceA.4 — Resources for AI systems
R6: Supply-chain integrity/provenanceArt. 15 — CybersecurityGOVERN 6.1 — Third-party riskA.4 — Resources for AI systems
R7: Compute-layer halt enforcementArt. 55 — Risk mitigationMANAGE 2.4 — DeactivationClause 8.1 — Operational control
R8: Authority-disclosable postureArt. 55 — ReportingGOVERN 4.3 — Information sharing

EU AI Act — Article 55 and Article 51

Articles 51 and 55 classify and govern systemic-risk models partly via compute thresholds; compute governance is the substrate-level enforcement of those obligations — multi-party authorisation, KYC, and halt enforceability.

NIST AI RMF — GOVERN 1.6, MANAGE 2.4

GOVERN 1.6 (inventory) and MANAGE 2.4 (deactivation) extend to the compute substrate: knowing and being able to stop the hardware on which frontier systems run.

ISO 42001 — Clause 8.1, A.4

Clause 8.1 (operational control) and Annex A.4 (resources for AI systems — including compute) require governing the compute resources frontier agents depend on.

Cite this protocol
AgentGoverning. (2026). AG-828: Compute and Hardware Governance. The Protocols of AI Agent Governance, AGS v2.1. agentgoverning.com/protocols/AG-828