Enterprises Shift AI Workloads to Colocation for Performance, Security, and Cost Control
What Happened — A new CoreSite report shows that more than half of organizations have moved AI applications out of pure public‑cloud environments into colocation facilities. The shift is driven by the need for predictable performance, dedicated power and cooling, and direct, low‑latency connections to cloud providers.
Why It Matters for Compliance & Audit Readiness
- SOC 2 ‑ Security and Availability criteria require documented controls over where data is processed and stored; moving AI workloads to colocation introduces a new third‑party environment that must be continuously monitored.
- Continuous‑compliance programs need to map these hybrid deployments to the control matrix, collect evidence of the colocation provider’s SOC 2 attestations, and maintain an auditable trail of infrastructure changes.
- Control‑mapping and evidence‑collection capabilities (Verisq Control Mapping) help organizations prove that the same security, change‑management, and availability controls are enforced across both cloud and colocation layers.
Who Is Affected — Large‑scale enterprises across technology, finance, healthcare, and manufacturing that run production‑grade generative‑AI, predictive‑analytics, or agentic‑AI models.
Recommended Actions
- Inventory every AI workload and record its current hosting location (public cloud, colocation, on‑prem).
- Align each workload with the relevant SOC 2 control objectives (e.g., CC6.1 System Operations, CC7.1 Change Management).
- Obtain and archive the colocation provider’s latest SOC 2 report; integrate its control evidence into your continuous‑compliance dashboard.
- Implement automated monitoring of latency, power usage, and connectivity health to satisfy Availability and Performance criteria.
- Update vendor‑management policies to include periodic reviews of colocation provider certifications and SLA compliance.
Source: Help Net Security – Enterprises are rethinking where their AI applications run
Technical Notes – The trend is driven by AI’s high compute, power, and cooling demands; no specific vulnerability or exploit is cited. Organizations cite security, uptime, and predictable performance as top reasons for selecting colocation providers that offer direct cloud interconnects. Source: same as above