Integrating AI agents into corporate environments introduces significant risks, as demonstrated by incidents where agents deleted production databases or infrastructure. Unlike AI assistants that provide suggestions, agents can independently execute commands, access APIs, and modify files, necessitating strict control mechanisms.
Key security measures for corporate AI deployment include defining clear technical boundaries for access, utilizing isolated sandboxes for execution, and implementing a human-in-the-loop model. Organizations must audit data handling policies, ensure secure secret management to prevent credential leakage, and verify that agents can be stopped or overridden.
The Duade agent application is designed for the Russian market and supports on-premise installation. It utilizes isolated sandboxes, requires user approval for critical actions, and includes a multi-stage planning mode. The system enforces strict rules against logging or exposing API keys, passwords, and 2FA codes.
To prevent infinite retry loops, Duade stops after two or three consecutive failures and requests user clarification. The platform supports installation on Windows, macOS, and Debian/Ubuntu Linux, allowing for integration with Docker via SSH. Users must configure the entire data chain, including model connections, to ensure data remains within the desired perimeter.
