Govern your agents. Protect your organization.

Every agent has an identity of its own, and it acts on behalf of an identified user. Argonos takes the user’s rights from your directory and your source systems, and trims results at query time. Sinequa’s security model, built over two decades of enterprise deployments, does the trimming at document and attribute level, so an agent never surfaces what the person it serves could not open themselves.

Guardrails run in the loop, not in a report. Argonos checks each planned action against the agent’s scope before it executes, blocks what falls outside it, and surfaces the attempt. Operators see what agents are doing now: which runs are open, which steps are waiting, which calls were refused. That is agent observability with a control attached to it.

Manage what AI is spending. Ungoverned agents multiply faster than anyone budgets for, and the bill arrives without a breakdown. Argonos attributes spend to the agent, the model, and the call, and lets you set guardrails on consumption, spend, and which models are allowed for what workloads.

Argonos writes a record for each run: the prompt, the sources read, the tool calls made, the output produced, and the person who approved a step where approval was required. You set the oversight thresholds by action type, data sensitivity, or business impact. Below the line, the process completes. Above it, a named person decides, and the decision is logged with the rest.