Share with your CISO
Veraify, launched under the Cloudbrink brand by the company formerly operating as the same entity, is betting that existing security architectures, built for browsers and centralized inspection, can’t govern the wave of AI agents and copilots now running directly on enterprise endpoints. The platform combines endpoint-based policy enforcement, data loss prevention, and AI traffic capture in a single agent. Gartner data cited in the launch puts 69% of organizations at or near confirmed shadow AI exposure. Cogent Security is named as an early customer.
What this means for your business
Shadow AI, where employees pipe customer records or proprietary code into consumer-grade AI tools without IT’s knowledge, isn’t a future risk for most organizations. It’s already happening. The question Cloudbrink is forcing isn’t whether you have exposure, but whether your current stack can even see it. CISOs running SASE or zero-trust network access controls built around browser traffic are in a specific blind spot here: those architectures inspect web sessions, not the AI agent running inside a desktop app or the copilot calling an internal API directly.
Cloudbrink’s architectural argument is the part worth scrutinizing. The company claims that centralizing traffic inspection, which is the standard SASE model, introduces latency that drives employees to work around controls entirely. Pushing policy enforcement to the endpoint itself, where the AI traffic originates, is their answer. That’s a defensible position on performance, but it shifts the security perimeter onto devices you don’t always control, and raises harder questions about policy consistency across contractor machines, BYOD fleets, and managed endpoints running different OS configurations. The single-control-plane claim for both human users and AI agents is doing a lot of work in their pitch, and the proof will be in multi-environment deployments, not a single named customer.
The vendor is pitching into a market still deciding whether this problem requires a new category or an extension of existing ones, and since Cloudbrink sells the new-category answer, its timeline for incumbent inadequacy deserves skepticism. What changes the calculus isn’t the launch announcement but whether your next SASE or endpoint-security renewal conversation still has a credible answer for AI agent traffic. If your current vendor’s roadmap doesn’t address autonomous AI workflows touching internal data by the time that contract comes up, that’s the moment this category becomes a budget decision you already own.
Concept deep-dive: Shadow AI
Shadow AI is the enterprise equivalent of shadow IT, employees using unsanctioned AI tools the way a prior generation used personal Dropbox accounts for work files, except the data leaving the organization is often richer and harder to recover. When a developer pastes proprietary code into a public AI assistant, or an HR manager uploads employee records to a chatbot for summarization, no firewall alert fires. The risk isn’t the tool itself but the absence of any control plane seeing the interaction.
Based on reporting from Cloudbrink launches AI security platform for enterprise, originally published 2026-07-22 22:00:00.
