CollAI builds a human approval gate for destructive AI-agent actions
CollAI is building controls for organizations that want AI agents to work with sensitive systems without handing over every decision. Its proposed workflow holds a destructive action for approval by a named person and records what happened. For a bank or other regulated operator, the appeal is a defined point at which an automated task becomes a human decision, with a record to review afterward.
A control point for automated work
The startup targets security and AI-risk teams and operational decision-makers at banks, fintechs and health-technology businesses, among other organizations. Its website describes its offering for operators in the United States and India.
An AI agent can use software tools to carry out a task, making access to data and permission to act important questions. In a February 2026 concept-paper announcement, the U.S. National Institute of Standards and Technology identified agent identification, authorization and auditing as security issues for organizations to consider.
From model input to action
CollAI says it masks secrets and personal identifiers within the customer's virtual private cloud before information reaches a model. Its gateway holds agents' tool credentials, while a component called StegoGuard scans model outputs for sensitive information and concealed channels.
The company also describes a record linked through a hash chain, a method that connects entries so they can be checked for alteration. Together, the proposed controls address different parts of a workflow: what reaches the model, what comes out and who authorizes an action.