Cloudbrink Unveils Safe AI to Secure the Hybrid Workforce's AI Frontier

SUNNYVALE, Calif. – Jan. 27, 2026 – As enterprises race to integrate Artificial Intelligence into their operations, a new and complex web of security challenges has emerged, particularly for the burgeoning hybrid workforce. Addressing this critical intersection of innovation and risk, Cloudbrink, a leader in high-performance secure connectivity, today announced a significant expansion of its platform, embedding new 'Safe AI' capabilities directly into its award-winning secure connectivity solution.

The new features are designed to provide unified security and visibility over the diverse and often disjointed ways employees and systems interact with AI. This includes developers creating AI agents, the use of browser-based online AI services, and custom-built Large Language Models (LLMs). The announcement positions Cloudbrink to tackle the escalating threat of data leakage and unauthorized access stemming from the widespread, and sometimes unmanaged, adoption of AI tools across corporate networks. The updated platform is scheduled for general availability next month.

The Mandate for Integrated AI Security

The urgency for such solutions is stark. According to a recent McKinsey report, a staggering 88 percent of enterprises globally are now using AI in at least one business function. This rapid adoption has outpaced the security frameworks needed to govern it, creating a new frontier for cybercriminals who are also leveraging AI to their advantage.

“AI is complicating the threat map. Enterprises are using AI in multiple ways across disjointed paths and every path needs to be secured,” said Prakash Mana, CEO of Cloudbrink. “This becomes even more complex for companies with hybrid workforces. Last year was the year that companies dabbled in AI. In 2026 more enterprises are using AI for serious business and that requires security, scalability, and speed. That’s what Cloudbrink is providing for AI in the enterprise.”

Cloudbrink’s approach is to move beyond stitched-together security stacks and point products by integrating AI protection into the core of its existing Zero Trust Network Access (ZTNA) architecture. This strategy aims to provide a single, coherent defense mechanism that covers users, applications, and AI interactions without adding management complexity or hindering performance.

A Technical Look Under the Hood

The new innovations are centered around several key components designed to provide granular control and deep visibility into AI-related network traffic.

At the heart of the offering is the Safe AI BrinkAgent. This intelligent agent, an enhancement of Cloudbrink's existing endpoint software, is now equipped to recognize and analyze traffic from a wide variety of AI agents and online services. Its primary function is to detect and prevent the leakage of sensitive corporate data—whether through an employee pasting confidential code into a public AI chatbot or an AI agent accessing restricted data—and enforce security policies in real-time.

This is supported by a comprehensive, built-in definitions database that can identify protocols and platforms for numerous AI agents and services. Cloudbrink has committed to continuously updating this database to keep pace with the rapidly evolving AI ecosystem. For organizations building proprietary AI tools, the platform allows for the creation of custom AI agent definitions, ensuring that even internally-developed solutions are brought under the corporate security umbrella.

Crucially, all these capabilities are managed through a unified policy and visibility console. This allows security teams to apply consistent rules across their entire hybrid workforce, including users, devices, applications, and now, AI services. By consolidating visibility, the platform aims to eliminate the blind spots created by "shadow AI"—the unsanctioned use of AI tools by employees—and provide a complete audit trail for compliance purposes.

Navigating a Competitive and Evolving Market

Cloudbrink is entering a fiercely competitive space. The Secure Access Service Edge (SASE) market is dominated by giants like Zscaler, Palo Alto Networks, and Fortinet, all of whom are racing to integrate AI-driven security features into their platforms. The core challenge they all face is providing robust security without compromising the user experience or network performance, a critical factor for productivity in a distributed workforce.

Cloudbrink's strategy hinges on its differentiation through a unified, high-performance platform. The company's 'Personal SASE' offering, which already promised up to a 30-fold increase in network performance, is the foundation upon which these new AI security features are built. This focus on performance and integration is designed to contrast with what could be perceived as bolt-on solutions from competitors. The company's credibility is bolstered by its recognition as a "Leader and Fast Mover" in the July 2025 GigaOm Radar for ZTNA, which praised its solution for its cost-effectiveness and ease of use.

By applying Zero-Trust principles not just to users and devices but directly to AI workloads and agents, Cloudbrink is treating AI as a distinct entity within the network that requires its own set of granular controls. This AI-native security posture recognizes that AI systems have unique behaviors and access patterns that differ significantly from human users.

The Business Imperative: Trust and Productivity

For businesses, the promise of AI is tied directly to the ability to trust it with critical operations and sensitive data. This sentiment was echoed by Siva Moduga, Co-Founder & CEO of Supervity AI, a Cloudbrink customer building "self-driving enterprise operations powered by AI Employees."

“The biggest barrier to enterprise adoption of agentic AI isn’t ROI - it’s trust,” said Moduga. “Enterprises want AI systems that can autonomously execute critical operations, but they cannot compromise on security, data sovereignty, or performance. Cloudbrink enables us to encrypt and isolate AI traffic end-to-end, protect access to private enterprise systems, and do so without introducing latency or operational friction.”

This highlights the central paradox facing modern enterprises: how to empower employees with powerful AI tools to boost productivity while simultaneously safeguarding the organization from new, AI-driven threats. The risks are substantial, ranging from inadvertent data leaks in AI prompts to malicious prompt injection attacks and the rise of AI agents as a new class of insider threat. By providing a framework to monitor and control AI interactions, Cloudbrink aims to give organizations the confidence to scale their AI initiatives securely. This move reflects a broader industry shift towards treating AI security not as a feature, but as a foundational requirement for digital transformation.