How are you guys securing AI autonomous agents that can actually move money?

We built a trust layer for autonomous agents specifically around mandate enforcement. Basically, "what happens when an agent tries to do something outside the parameters it was given?" We are offering it free right now in exchange for honest, constructive feedback from teams actually using it. I talked to a bunch of people building agents that touch money, and most already have some form of software-level guardrails, monitoring or human approval. The question we kept coming back to was: what happens if the agent itself gets compromised, prompt-injected, or simply makes a bad decision? That's the gap we went after. Our layer sits between the agent and the payment/execution infra. Before anything executes, it checks things like spend limits, approved recipients and transaction policy. If the action falls outside the agent's mandate, it can't produce an authorized signature. Signing uses TSS/MPC and every decision leaves an immutable audit trail. So the idea isn't to trust the agent more. It's to make sure a compromised agent still can't act outside the authority it was given. If you're building autonomous agents that are already trading, making payments or moving real funds, would love to get you testing it. Happy to provide it free while we're validating this, and we're also open to grants for teams already doing meaningful volume. DM me if relevant and I'm equally interested in hearing how you're solving this today