How does an agent get answers right about our most sensitive data?
El contexto subyacente. AgentIQ reasons over what BigID has already discovered, classified, and mapped: the data and AI inventory, who can reach what, the activity against it, and the policies that apply. Risk is ranked on sensitivity, exposure, activity, and business context rather than on the model's impression of the file name.
¿Estamos apostando nuestro programa de seguridad a un único proveedor de modelos?
No, y la arquitectura es la razón. BigID construyó la capa, no el destino, por lo que, independientemente del agente, modelo o interfaz que se estandarice, BigID es la capa de inteligencia y acción subyacente. Claude, Copilot, GPT, Gemini, los agentes empresariales personalizados y la interfaz AgentIQ dentro de BigID alcanzan la misma capacidad, y no existe dependencia de un agente, modelo o interfaz de un solo proveedor.
¿Quién es responsable cuando un agente realiza una acción?
Una persona identificada, según consta en los registros. Los agentes heredan los permisos del usuario solicitante, que se aplican en la capa de API y MCP en lugar de solicitarse mediante una notificación del sistema, y acceden a los datos a través de las identidades asociadas a ellos, en lugar de directamente. Cada acción se registra y se puede atribuir, por lo que una corrección realizada por un agente durante la noche se refleja de la misma manera en una auditoría que una acción realizada por una persona.
What is AgentIQ?
AgentIQ is BigID's agentic automation layer for data and AI security, compliance, and privacy. It lets people and agents run the program from a request: ask a question, investigate a risk, decide what matters, and take the action, in BigID or from Claude, Copilot, GPT, and Gemini. It runs on the discovery and classification BigID already holds, so answers rest on your real estate. Read more about the supporting layer in context engineering.
What can I ask AgentIQ to do?
The work of the program, from reports to remediation. Typical requests include building a report nobody has built a dashboard for, working out the impact radius of an incident, finding and revoking excessive access, fulfilling a data subject request, and enforcing AI governance policy. Pre-built agents handle remediation of sensitive data, AI governance enforcement, access exposure analysis, and privacy operations, and you can add your own. See gobernanza del acceso y Gobernanza de la IA for the controls it runs on.
How does AgentIQ relate to the BigID MCP server?
The MCP server makes BigID accessible to AI, and AgentIQ makes it operable by AI. The secure MCP layer gives agents governed context and callable actions with role-based access control and an audit record, and AgentIQ builds the workflows, pre-built agents, and interface on top of it. Together they let the agents your teams already use work with BigID directly.