AI is changing how organizations operate, but it’s also introducing new risks around privacy, governance, and performance.
Cloudbrink’s new AI-ready platform is designed to help enterprises embrace AI responsibly - offering the control, visibility, and speed needed to balance innovation with security.
The platform integrates Zero Trust security, compliance intelligence, and high-performance connectivity within a single architecture. The goal is to give IT and security teams complete oversight of how AI is accessed and used, while ensuring employees and developers can work freely and efficiently.
Built for the Realities of AI in the Enterprise
Traditional SASE and ZTNA solutions weren’t built with AI in mind. AI workloads behave differently from human users and require policy enforcement at new layers, specifically at the AI-service and agent level.
Prakash Mana, CEO of Cloudbrink, explained to ChannelE2E, “Cloudbrink's AI intelligence and policy enforcement happens very close to the user, directly on the endpoint, rather than steering all traffic to a central POP as traditional solutions do. That centralized model often becomes a bottleneck for performance, speed, and availability.”
This endpoint-level approach reduces the risk of blind spots. “Since AI is consumed in multiple ways - through native apps, online services, or browser plugins - a proxy or POP-based model can miss some AI traffic, whether by design or user misconfiguration,” Mana added. “By enforcing AI security and access controls right at the source of traffic, we ensure there are no leaks of any kind.”
Mana also highlighted the performance advantage of its global FAST Edge overlay network, which extends not just to users but also to AI-powered physical devices like robots. “This network enables superfast AI response times and smooth real-world performance. Traditional vendor solutions slow down network traffic, making them unsuitable for practical AI use cases.”
Partner Ecosystem and Enterprise Adoption
Cloudbrink’s channel and technology partners will play a major role in expanding enterprise adoption.
“On the go-to-market side, we’re working with several global partners to deploy a secure, isolated AI network that keeps user and AI workloads separate,” Mana said. “This separation helps enterprises adopt AI services safely without disrupting existing applications and infrastructure.”
The company is also collaborating with technology partners in AI agent development, model creation, and GPU infrastructure. “Our network and access control policies allow AI agents to securely access only approved models, GPUs, and storage, with minimal latency. This effectively creates a virtual network spanning multiple micro-datacenters,” the spokesperson noted.
Compliance, Governance, and AI Oversight
As AI adoption accelerates, governance and compliance remain top priorities for enterprises. Cloudbrink’s platform includes multiple layers of visibility, logging, and enforcement to help organizations manage these risks.
“Cloudbrink provides deep visibility into AI service usage, including user identities, service types, timestamps, and data transfer details,” Mana explained. “Every AI activity is logged and can be exported to a customer’s SIEM, which serves as critical evidence for compliance and governance.”
In addition, the company provides high-grade encryption and availability safeguards. “We use MTLS 1.3 with rotational certificates and endpoint compliance checks to protect data both in transit and at rest,” Mana said. “Our multi-zone redundancy and dynamic pathing ensure high uptime SLAs - another key element of AI compliance and governance.
By combining endpoint-enforced Zero Trust, compliance visibility, and high-performance connectivity, Cloudbrink aims to make AI adoption secure and efficient. IT and security teams gain oversight without slowing down operations, while developers and employees benefit from faster, more reliable access to AI services.
