Ever wondered who’s building the final safety layer for AI agents? Meet $ATBASH, the last authority before any irreversible action executes. It allows, holds, or blocks dangerous moves in real time. Just real control. 🛡️
While everyone rushes to make agents more powerful, $ATBASH focuses on one critical question: Who stops the agent when it’s about to cross the red line? Most guardrails sit inside the model. ATBASH sits outside — as an independent runtime authority.
The Founders are:
Yosef Soso (@0x50so)
Or Perelman (@perelmanor).
Two experienced builders who saw the gap early: models will get smarter, agents will get more autonomous… but without hard boundaries at execution time, we’re flying without a parachute.
Yosef Soso has already interacted with the $ATBASH ticker and it looks like he has endorsed the token made for his project.
They’ve been out there talking to legends like @Scobleizer about enterprise guardrails, compliance, and why “trust the model” is no longer enough.
Their mission: Give developers and organizations Action Boundary Control, the ability to define and enforce what an agent is never allowed to do, no matter how convincing it sounds.
Why it matters: Agents can hallucinate their way into compliance disasters, guardrails can be stripped in minutes, memory files and prompt engineering aren’t enough. ATBASH adds a separate, hardened decision layer right before execution.
Interestingly, Roger Lim (from NGC Ventures, a ~$500M fund) bought $ATBASH even though his wallet had done no transactions for the last 100 days. A 500M fund definitely isn’t gambling project for no reason.
If you’re building agents (especially enterprise or high-stakes ones), this is infrastructure you’ll want to know about.
The future of AI isn’t just “more capable agents.” It’s capable agents that can’t break the rules, even if they really want to. Welcome to the age of enforceable boundaries.
@ATBASHai coded for 100m soon, just matter of time.