BoxAgnts Runtime (4) — Capability Security, Not Root Access

In the rapidly evolving landscape of AI agents, they're now capable of executing complex tasks like modifying repositories and managing cloud infrastructure, but this shift raises significant security concerns. Traditional security models, built for trusted human operators, are no longer adequate, as large language models (LLMs) are prone to vulnerabilities like prompt injection and adversarial contexts. This development underscores the urgent need for new security frameworks that can effectively manage the risks associated with AI's expanded capabilities, ensuring robust protection against potential threats.