The current deployment of AI agents often outpaces existing security frameworks. While Gartner projects that one-third of enterprise software will incorporate agentic AI by 2028, many organizations lack the necessary controls to manage the risks associated with automated decision-making. Devenex functions as an authorization layer that sits between an agent’s intent and its execution, ensuring every action is identity-bound and recorded as audit-grade evidence.
Devenex Launches Control Plane to Govern AI Agent Execution
As AI agents transition from experimental tools to active participants in financial and operational workflows, enterprises face a critical accountability vacuum. Devenex, a new infrastructure platform debuting at Google Cloud Next 2026, aims to close this gap by intercepting agent actions with mandatory, policy-based governance before they impact real-world systems.
By providing a centralized platform for pre-execution policy enforcement and dynamic human-in-the-loop oversight, the company addresses the primary barrier to scaling AI: the fear of unmanaged compliance events. Rather than replacing existing systems of record, Devenex integrates with current enterprise environments to provide traceability for complex workflows, including wire transfers and record modifications. Supported by the team behind Abacus, the platform is available immediately for enterprises seeking to transition from experimental AI pilots to governed, production-scale operations.
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