Cloudbrink Targets AI Security Gaps with Safe AI Expansion

Cloudbrink has expanded its secure connectivity platform with new Safe AI capabilities designed to help enterprises secure AI agents, browser-based AI services, and custom models without adding operational complexity. 

The new AI features are delivered on the same platform that Cloudbrink uses for its Personal SASE and zero-trust network access (ZTNA) offerings, allowing organizations—and their managed service providers—to apply consistent security policies across users, applications, and AI workloads.

AI adoption accelerates, threat surface expands

According to Cloudbrink, rapid enterprise AI adoption is creating new attack surfaces that many organizations are not equipped to manage. 

Citing McKinsey research, the company noted that 88 percent of enterprises globally are already using AI for at least one business function, often across multiple tools, protocols, and deployment models.

For MSPs and IT partners, that sprawl can translate into increased risk and management overhead, particularly in hybrid work environments where AI traffic may bypass traditional security controls.

“AI is complicating the threat map,” said Cloudbrink CEO Prakash Mana. “Enterprises are using AI in multiple ways across disjointed paths and every path needs to be secured.”

Cloudbrink is positioning its Safe AI features to centralize that effort, reducing the need for point products while maintaining performance.

Policy-driven controls for agentic and browser-based AI

At the core of the update is the Safe AI BrinkAgent, an enhanced version of Cloudbrink’s endpoint agent that can recognize traffic generated by AI agents and online AI services. 

The agent is designed to identify potential sensitive data leakage and take action based on pre-defined organizational policies tied to compliance and data protection requirements.

Cloudbrink has also introduced a built-in definitions database that recognizes a wide range of AI platforms, agent protocols, and browser-based services. The database is continuously updated as new AI tools emerge, and customers can add custom definitions for internally developed or industry-specific AI agents.

For partners, this approach could simplify onboarding and policy enforcement across diverse customer environments, particularly those experimenting with agentic AI.

Unified visibility for hybrid workforces

A key differentiator, according to Cloudbrink, is unified visibility. The same management console used to secure users and applications now provides insight into AI agents and services, including traffic flows and access behavior.

That consolidation may appeal to MSPs looking to standardize security offerings while supporting customers with limited internal AI governance frameworks.

“The biggest barrier to enterprise adoption of agentic AI isn’t ROI—it’s trust,” said Siva Moduga, co-founder and CEO of Supervity AI, a Cloudbrink customer. 

“Enterprises want AI systems that can autonomously execute critical operations, but they cannot compromise on security, data sovereignty, or performance. Supervity is building self-driving enterprise operations powered by AI Employees, and that requires a secure-by-design infrastructure foundation. 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,” Moduga continued.

The updated Cloudbrink AI platform is expected to be generally available next month.