Before it was called Veraify, the technology behind Veraify AI was already winning recognition for its approach to enterprise AI security.
At RSA Conference 2026 in San Francisco, the technology then known as Cloudbrink SAFE AI received the Global InfoSec Award for Publisher’s Choice in the AI Security Solutions category from Cyber Defense Magazine.
Today, SAFE AI has evolved into Veraify powered by Cloudbrink — a broader AI security and governance platform designed for a world in which AI is no longer simply a website employees visit, but an increasingly autonomous participant in enterprise computing.
From SAFE AI to Veraify
SAFE AI started with a pressing enterprise problem: employees were adopting generative AI faster than security teams could govern it.
ChatGPT, copilots, coding assistants and other AI services created enormous productivity opportunities, but also introduced new risks. Sensitive corporate information could be pasted into prompts or uploaded in files. Unsanctioned AI services could become Shadow AI. Security teams often lacked visibility into which AI tools employees were using and what information was being shared with them.
SAFE AI was designed to give organizations greater visibility and control without simply blocking AI and losing its productivity benefits.
The Global InfoSec Award recognized that approach.
But the AI landscape has moved quickly.
AI is evolving from tools that wait for a human to type a prompt into systems capable of taking actions, calling APIs, accessing applications and data, communicating with other agents and operating with increasing autonomy.
That requires a broader approach to security.
That evolution is Veraify.
AI security now extends beyond the browser
The first wave of enterprise AI security understandably concentrated on browser-based generative AI. But enterprises now have to think about many different forms of AI simultaneously.
Employees may use public AI services and SaaS copilots. Developers may use AI-native IDEs and coding assistants. Organizations may deploy private models and internal AI applications. Personal AI assistants may run locally on endpoints. Autonomous agents may interact directly with APIs, applications, other agents and enterprise data.
These interactions don’t necessarily follow the traditional browser-to-cloud path on which many enterprise security architectures were built.
Veraify is designed to provide security and governance across this changing environment.
It brings together AI visibility, Shadow AI discovery, sensitive-data protection, AI-aware policy controls, endpoint AI controls, zero-trust access and high-performance secure connectivity in a unified platform.
Protecting enterprise data before it leaves
One of Veraify’s key design principles is that sensitive information should be protected as close to its source as possible.
An employee might paste customer information into an AI prompt. A developer could accidentally expose source code to an AI coding service. A file uploaded to an AI assistant could contain confidential information. An AI agent could attempt to access data or an application it isn’t authorized to use.
The objective is not simply to identify the AI service. It is to understand and control the interaction.
Veraify can apply policy to AI interactions and detect or prevent sensitive data from being shared inappropriately, helping organizations move beyond the choice between “allow AI” and “block AI.”
The goal is to enable AI safely.
Zero Trust now has to include AI agents
Traditional Zero Trust was largely designed around a familiar question:
Should this user and device be allowed to access this application?
AI adds another set of questions.
Which AI agent is making the request? What is it allowed to access? Which applications, APIs, tools and data does it need? And should that permission still exist when its task is complete?
Veraify extends zero-trust principles into this AI environment.
The platform can combine identity, endpoint posture, policy and secure connectivity to control access to private applications, SaaS services, cloud resources and enterprise data. This becomes increasingly important as autonomous AI agents begin operating alongside human users.
Security without making AI painfully slow
There is another part of AI security that can easily be overlooked: performance.
AI applications can move significant quantities of data and generate large volumes of API traffic. Developers may need to transfer large datasets to and from AI infrastructure. Agents may make frequent calls between applications, models and services.
Forcing all of that traffic through distant, centralized security infrastructure can introduce latency and unnecessary network hops.
Veraify powered by Cloudbrink approaches the problem differently.
Its software-defined FAST Edge architecture, high-performance ZTNA and network optimization capabilities are designed to combine security with high-performance access. Policy and protection therefore don’t have to come at the expense of the user or AI application’s experience.
That distinction becomes increasingly important as AI moves from experimentation to business-critical production workloads.
The award was a milestone, not the destination
When the Global InfoSec Award was presented at RSA Conference 2026, SAFE AI represented our response to an immediate problem: how enterprises could embrace AI while reducing the risks of Shadow AI, sensitive-data leakage and uncontrolled access.
The award was important validation of that approach.
But AI has continued to evolve — and so have we.
SAFE AI became Veraify.
Veraify expands that original vision beyond securing employee access to generative AI. It is designed for an environment of AI assistants, local AI, enterprise AI applications and increasingly autonomous AI agents that need controlled access to applications, APIs and enterprise data.
The underlying principle remains the same:
Enterprises shouldn’t have to choose between AI innovation and security.
Veraify powered by Cloudbrink is designed to give organizations the visibility, control, secure access and performance needed to embrace AI while protecting the data and systems on which their businesses depend.
The name has changed.
The mission has expanded.
And the award-winning technology behind Veraify was already being recognized before the AI revolution had really begun.