Digital Infrastructure and Cloud Calibration
Public overview of UAIF-CAL-DIGINF-v1.0; the operational package is controlled.
Purpose and scope
Cloud, data-centre, CDN, DNS and core infrastructure AI, including autonomous orchestration and reliability systems.
The package calibrates UAIF classification for sector context without replacing the UAIF Technical Specification or applicable law.
Status and validation boundary
Version 1.0 is provisional pending empirical inter-rater validation. The source document states that provisional weights must not be used as the sole basis for regulatory reporting, certification or consequential decisions.
Public information
- Document reference: UAIF-CAL-DIGINF-v1.0
- Version: v1.0 provisional
- Public scope and exclusions
- Method based on public regulatory material, research and recognised severity frameworks
- Known validation and legal-review limitations
Sector risk context
Digital infrastructure AI hosts and serves all other sectors: a hyperscaler AI failure, an ML-driven CDN misconfiguration, or a cloud-security AI false positive can degrade banking, health, energy, and telecom simultaneously. Aggregate economic exposure is the defining characteristic. The EU AI Act's General-Purpose AI (GPAI) model provisions add a regulatory dimension absent from most sectors — GPAI deployed as infrastructure carries transparency and incident-reporting obligations regardless of end application. Reputational harm is elevated because provider reliability is the core value proposition.
1.1 Applicable Regulations
• NIS2 Directive 2022/2555 — Annex I (cloud, data centres, CDN, DNS, IXP, TLD, trust services) [T1]
• EU AI Act — General-Purpose AI (GPAI) model provisions, Title VIII [T1]
• EU Data Act 2023 [T1]
• GDPR (EU) 2016/679 — cloud data processing, Art. 28 processor obligations [T1]
Extracted from the source sector profile. Detailed calibration and operational material remains controlled.
Public sector orientation
Representative classification concerns include service availability, tenant isolation, identity and access, autonomous orchestration, cascading failure and data integrity. These themes help teams scope incident intake and analysis; they are not calibration weights, legal conclusions or an exhaustive risk list.
Use with the UAIF layers
- Establish incident identity, provenance and remediation state.
- Separate cause, manifestation, acute harm and chronic-harm proxies.
- Apply severity and context logic with the provisional calibration status visible.
- Record sector and jurisdiction metadata for human review and routing.
- Preserve uncertainty, contrary evidence and the version of every referenced artifact.
Controlled resource
The detailed package, calibration weights, scoring implementation, evidence logic and maintenance material are confidential commercial resources governed by UAIF-LIC-003 and applicable GEL terms.
Notably Absent
No empirical validation result, regulatory approval, certification status, universal sector applicability or legal-reporting determination is claimed.