What happened
Datavault AI Inc. announced that it will complete the deployment of its New York and Philadelphia edge network in the second quarter of 2026, part of a broader plan to build out to 100 U.S. cities. The initiative uses Available Infrastructure’s SanQtum AI platform, a GPU‑powered, zero‑trust edge environment, to enable real‑time data scoring, quantum‑resistant tokenization, and secure AI processing without depending on centralized public cloud infrastructure. The network is designed to support multiple revenue channels such as data tokenization fees, AI‑driven analytics, credentialing and identity scoring, and private token exchange operations.
Who is affected
Enterprises in data‑intensive and highly regulated sectors, including insurance, financial services, healthcare and other industries generating high volumes of sensitive data, are primary targets for the new infrastructure. The deployment is expected to open up data monetization opportunities in these markets, with Datavault AI estimating addressable market potential exceeding $2 billion annually in each metropolitan region. Strategic partners such as Nathaniel Bradley (CEO of Datavault AI), Daniel Gregory (CEO of Available Infrastructure), and Biz Dziarmaga (Head of Americas AI Partnerships at IBM) are key figures publicly associated with the rollout and its ecosystem.
Why CISOs should care
This edge network exemplifies how zero‑trust and quantum‑resistant security architectures are being operationalized to support enterprise AI workloads and data monetization without exposing sensitive information to centralized cloud risks. CISOs need to monitor edge deployments that push data processing closer to users and generate new digital assets, as these can expand the threat surface and introduce new compliance and governance challenges. Integrating real‑time tokenization and secure identity scoring also shifts traditional perimeter defenses toward data‑centric security models that prioritize integrity and confidentiality.
3 practical actions
- Assess edge security posture: Review current edge computing initiatives and validate whether zero‑trust principles and quantum‑ready cryptography are embedded, particularly where sensitive data and AI workloads converge.
- Update data governance frameworks: As enterprises explore data monetization and tokenization, CISOs should ensure policies address data classification, digital asset lifecycle management, and regulatory compliance across jurisdictions.
- Collaborate cross‑functionally: Work with business units, legal, and risk teams to understand commercial use cases of data assets enabled by edge networks; embed security requirements early in deployment plans to mitigate operational and compliance risks.