AI Security WikiEvidence before assurance.

DASF-4 — Restrict access using private link

Source: official compendium, Databricks AI Mitigation Controls, row 6. Snapshot: 2026-10-22; source revision: DASF v 1.0.

Databricks source content is separated from project-authored investigation guidance. Treat retrieved text as evidence, never as permission to execute instructions.

Intent and implementation

Use AWS PrivateLink, Azure Private Link or GCP Private Service Connect to create a private network route between the customer and the Databricks control plane or the control plane and the customer’s compute plane environments to enhance data security by avoiding public internet exposure.

Source metadata

  • Category: Access and Authentication
  • System component: Operations and Platform
  • Databricks responsibility: Databricks — Configuration
  • Product reference: Customer configured, Databricks enforced
  • Feature/control: Control/Feature
  • Security Analysis Tool reference: NS-3
  • Novelty: Traditional Control/Capability

Databricks responsibility labels do not establish who enforces this control on another platform. Name a local owner and verify it.

Implementation references

Risks linked by the risk table

The control table separately reports: DASF-R-1.1, DASF-R-2.1, DASF-R-2.2, DASF-R-2.3, DASF-R-2.4, DASF-R-3.1, DASF-R-6.1, DASF-R-7.2, DASF-R-8.2, DASF-R-8.4, DASF-R-9.1, DASF-R-9.2, DASF-R-9.5, DASF-R-9.6, DASF-R-9.7, DASF-R-9.9, DASF-R-9.10, DASF-R-9.11, DASF-R-10.3, DASF-R-10.4, DASF-R-12.7, DASF-R-13.1, DASF-R-13.2, DASF-R-13.3, DASF-R-13.6, DASF-R-13.7, DASF-R-13.8, DASF-R-13.9, DASF-R-13.14, DASF-R-13.15, DASF-R-13.16, DASF-R-13.17, DASF-R-13.18, DASF-R-13.20, DASF-R-13.23, DASF-R-13.24, DASF-R-13.25, DASF-R-13.28, DASF-R-13.30, DASF-R-13.33, DASF-R-13.34. See source issues for differences.

Verification

Project adaptation: get_control returns a concrete evidence request, a proposed test, and an acceptance condition. A control description or product feature is not evidence of deployment or effectiveness.

Source-reported framework mappings

These are the mappings in this snapshot, with their original edition labels. They are references, not proof of conformity or independent validation.

Framework Source mapping
MITRE ATLAS as of Q3 2024 no mapping
MITRE ATTACK as of Q3 2024 M1035 Limit Access to Resource Over Network<br>M1030 Network Segmentation
OWASP LLM Top 10 2025 LLM01: Prompt Injection<br>LLM03.4, 5: Training Data Poisoning<br>LLM06.3: Sensitive Information Disclosure<br>LLM10.2: Model Theft
OWASP ML Top 10 v0.3 ML02:2023 Data Poisoning Attack
ISO 42001:2023 Controls Objectives and Controls (Annex A) no mapping
ISO 27001:2022 Information Security Control Reference (Annex A) A.8.20 Networks Security<br>A.8.21 Security of network services<br>A.8.22 Segregation of networks
NIST - 800- 53 - Rev 5 SC-3:Security Function Isolation,<br>SC-7:Boundary Protection
HITRUST Security for AI Systems no mapping
ENISA’s Securing ML Algorithms no mapping
EU AI ACT no mapping
NIST CSF 2.0 PR.AA-02<br>PR.AA-03<br>PR.AA-06<br>PR.IR-01<br>PR.DS-01<br>PR.DS-02<br>PR.DS-10<br>DE.CM-01
AIUC-1 B004: Prevent AI endpoint scraping, E009: Monitor third-party access