AI Agent Sandbox & Safety Manager

A security layer that lets AI agents have controlled shell/API access by enforcing strict permissions and monitoring. Solves the problem of safely giving autonomous agents capabilities without full system access.

The agentic AI wave is real and accelerating — every major framework (LangChain, AutoGen, CrewAI) is pushing toward agents that actually execute code and call APIs, and the security story for all of them is currently "good luck." No clear incumbent owns this space; E2B gets close with sandboxed code execution but isn't focused on the broader permission and monitoring layer that multi-agent systems need. The $3k–15k/mo band is plausible for a developer tool with a usage-based or seat model, though it implies staying small unless there's a clear path to enterprise security teams who would actually pay for compliance-grade audit logs. The biggest risk is that the major cloud providers or agent frameworks absorb this natively — AWS, Google, and Anthropic all have obvious incentives to bake sandboxing into their own agent runtimes, which could commoditize the core value proposition before any indie builder reaches meaningful ARR.