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Cloudbrink Brings Secure, Compliant, High-Performance AI to Enterprises

Cloudbrink AI Platform Gives IT and Security Teams the Control, Visibility, and Performance Needed to Ensure Safe AI Adoption in the Enterprise

Cloudbrink announced a breakthrough platform designed to solve one of the most pressing challenges in enterprise tech: how to bring AI safely and efficiently into the enterprise without compromising compliance or performance. 

The Cloudbrink AI platform is an AI-ready personal SASE platform that gives enterprises the missing piece for safe, compliant, and lightning-fast AI adoption.

IT and security leaders today have to manage the tension between the need to innovate quickly, and the risk of exposing sensitive data through ungoverned AI use. Cloudbrink’s new AI-ready platform bridges that gap. It brings together a Zero-Trust approach, compliance intelligence, and high-performance connectivity into a single platform purpose-built for the era of enterprise AI.

“AI is the biggest transformation enterprises have seen in decades—but adoption has been slowed by security, compliance, and performance concerns,” said Prakash Mana, CEO of Cloudbrink. “Cloudbrink now removes those barriers. IT and security teams get the control they need, while developers and employees enjoy the speed they expect. We’re giving organizations the clarity, control, and speed they need to embrace AI responsibly.”

As enterprises accelerate their use of generative AI, language models, and agent-based automation, the risks of shadow AI, data exfiltration, and unauthorized API use have multiplied. Cloudbrink’s AI-ready platform applies Zero-Trust principles to AI workloads, providing context-aware security, data governance, and high-performance connectivity within a single architecture.

Unlike other SASE and ZTNA solutions that simply bolt AI onto legacy security systems, Cloudbrink’s new platform approaches AI based on how enterprise networks should operate in an AI-native world. Cloudbrink enforces policies at the AI-service and agent layer, not just the user or application layer because AI systems behave differently from human users, and have to be secured differently as well.

Cloudbrink now allows enterprises to consume and build AI services more smoothly and quickly. With Cloudbrink, organizations can:

  • Enable secure, compliant AI access across every employee and endpoint, with controls to detect shadow AI use and prevent sensitive data exfiltration to and from AI services.
  • Safely adopt enterprise AI Agents with data protection and least-privilege access controls, real-time policy enforcement, deep integrations with identity systems like Entra and Okta, and the ability to segregate AI agent traffic from user traffic for increased protection.
  • Empower AI developers to quickly create AI agents that function at high speed using Cloudbrink’s global FAST Edge network, providing near-LAN performance for GPU and data-intensive workloads.

Cloudbrink also provides crucial visibility into how AI is affecting enterprise networks. AI usage can be monitored directly on the Cloudbrink portal, which shows which AI agents are using which AI tools and services, which are the most common AI services and tools being used, and which AI tools or services have large volumes of data being exchanged.

The Cloudbrink AI platform will be available next month. 

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Cloudbrink Brings Secure, Compliant, High-Performance AI to Enterprises

Cloudbrink AI Platform Gives IT and Security Teams the Control, Visibility, and Performance Needed to Ensure Safe AI Adoption in the Enterprise

Cloudbrink announced a breakthrough platform designed to solve one of the most pressing challenges in enterprise tech: how to bring AI safely and efficiently into the enterprise without compromising compliance or performance. 

The Cloudbrink AI platform is an AI-ready personal SASE platform that gives enterprises the missing piece for safe, compliant, and lightning-fast AI adoption.

IT and security leaders today have to manage the tension between the need to innovate quickly, and the risk of exposing sensitive data through ungoverned AI use. Cloudbrink’s new AI-ready platform bridges that gap. It brings together a Zero-Trust approach, compliance intelligence, and high-performance connectivity into a single platform purpose-built for the era of enterprise AI.

“AI is the biggest transformation enterprises have seen in decades—but adoption has been slowed by security, compliance, and performance concerns,” said Prakash Mana, CEO of Cloudbrink. “Cloudbrink now removes those barriers. IT and security teams get the control they need, while developers and employees enjoy the speed they expect. We’re giving organizations the clarity, control, and speed they need to embrace AI responsibly.”

As enterprises accelerate their use of generative AI, language models, and agent-based automation, the risks of shadow AI, data exfiltration, and unauthorized API use have multiplied. Cloudbrink’s AI-ready platform applies Zero-Trust principles to AI workloads, providing context-aware security, data governance, and high-performance connectivity within a single architecture.

Unlike other SASE and ZTNA solutions that simply bolt AI onto legacy security systems, Cloudbrink’s new platform approaches AI based on how enterprise networks should operate in an AI-native world. Cloudbrink enforces policies at the AI-service and agent layer, not just the user or application layer because AI systems behave differently from human users, and have to be secured differently as well.

Cloudbrink now allows enterprises to consume and build AI services more smoothly and quickly. With Cloudbrink, organizations can:

  • Enable secure, compliant AI access across every employee and endpoint, with controls to detect shadow AI use and prevent sensitive data exfiltration to and from AI services.
  • Safely adopt enterprise AI Agents with data protection and least-privilege access controls, real-time policy enforcement, deep integrations with identity systems like Entra and Okta, and the ability to segregate AI agent traffic from user traffic for increased protection.
  • Empower AI developers to quickly create AI agents that function at high speed using Cloudbrink’s global FAST Edge network, providing near-LAN performance for GPU and data-intensive workloads.

Cloudbrink also provides crucial visibility into how AI is affecting enterprise networks. AI usage can be monitored directly on the Cloudbrink portal, which shows which AI agents are using which AI tools and services, which are the most common AI services and tools being used, and which AI tools or services have large volumes of data being exchanged.

The Cloudbrink AI platform will be available next month. 

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From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...