Security and responsible autonomy
An agent that writes and runs software must be treated differently from a simple reporting tool. Generated code can contain errors, consume excessive resources or attempt access outside its assigned project. Research execution therefore belongs inside a bounded environment with recorded limits. The relevant operating system or virtualization layer, not an AI's own promise, must enforce critical restrictions.
Across the broader ecosystem, identity verification, short-lived permissions, access limits, encrypted communications, recorded approvals, versioned software, signed evidence and independent security testing protect users and organizations. Cash and securities records require exact financial reconciliation. A failure should lead to a defined halt, quarantine or correction instead of an invisible override.
No technical design can guarantee the absence of all security incidents. The appropriate claim is that the architecture specifies controlled permissions, separation of authority, observable results and independently reproducible evidence. Those controls must be tested in the environments in which the system is actually used.