Keep the AI you already run. Connect it with an API key, and every protected action is authorized before it takes effect. What is not allowed is blocked. You see all of it in one place. Start with one clearly scoped AI workflow, then extend protection to more agents and systems.
Link your AI agent or application to Nextvise.
Protected tool actions are checked before execution.
See activity, decisions and findings in the Nextvise platform.
Connect application and agent action flows to runtime enforcement.
Apply controls to your agents' tool connections.
Deploy inside the environment where your AI operates.
Keep your models, apps, tools and existing workflows. Nextvise integrates at the applicable action boundary.
A focused first integration helps teams validate what is protected, how the agent behaves and what operational information will be available after a decision. The goal is to establish meaningful control before broadening the scope.
The application submits the relevant protected operation; Nextvise returns the control outcome; the existing application implements the permitted next step. This distinction makes integration responsibilities understandable.
Integration planning should account for identities, tools, protected resources, context passed to the enforcement layer and the organization's data-handling requirements. Details depend on the specific system and supported integration.
Different enterprises operate in public cloud, regional and privately managed environments. Supported options are confirmed against the customer's technical requirements.