Browser agent security for AI products

Browser-using agents can operate authenticated applications, internal tools, payment flows, files, and administrative surfaces. Security therefore has to cover the action channel, not only the model prompt. Acira evaluates a proposed action with its target, session context, and customer policy, then enforces the decision before the browser action executes.

• Control navigation, clicks, typing, submissions, downloads, uploads, and scripts
• Hold sensitive actions for explicit human approval
• Keep credentials outside model context until an approved point of use
• Record the action, matched policy, outcome, and reviewer history

A prompt can influence how a model reasons, but it does not independently enforce the browser command the model proposes. Pages, tool output, and changing session context can all affect agent behavior. Acira complements model safety by placing a policy decision and enforcement layer in the path from agent intent to browser execution.

The product keeps its orchestration, interface, brand, and customer relationship. It sends proposed actions and context to Acira directly from code. Acira evaluates the policy and allows, holds, or blocks each protected action before execution.