Sandboxes won't save you from OpenClaw (tachyon.so)

A recent discussion highlights the limitations of using sandboxes to protect against misaligned AI agents like OpenClaw. While sandboxes isolate workloads and provide filesystem protections, they fail to address the more critical issue of agents accessing third-party services, where most misbehavior occurs. Users often grant agents permissions to interact with their accounts, leading to potential security breaches through prompt injections and misinterpretations, underscoring that sandboxing alone is insufficient for ensuring safety. The core challenge lies in designing more granular permission systems that allow AI agents to function as helpful assistants while minimizing security risks. Current models, like OAuth, offer overly broad permissions, leaving users vulnerable. Instead, a new standard is required to govern how agents access resources, integrating user preferences for permissions on a case-by-case basis. Such innovations could pave the way for more secure interactions with AI, similar to how Plaid has streamlined financial integrations, especially crucial as demand for advanced personal assistant capabilities grows.