Vision
Accountability for AI Agents
We have always built software for people. People used it. People made decisions through it. People held the authority behind it. When something went wrong, you could find who was responsible. There was a name on it. That is how a company works: not only who can act, but who answers for the act.
It is also how companies scale. When authority outgrew the individual, we built systems to hold it. The merchant got a ledger. The growing company got identity and access management. The enterprise got approval policies, audit logs, and controls.
Authority kept growing. Accountability kept catching up. Now there is a new kind of actor inside the company.
An AI Agent.
A year ago, most agents still advised. Now they act. They read records, call tools, trigger workflows, open tickets, write code, and change systems. They can be delegated real authority, and the teams handing it to them are building something genuinely new. The authority arrived faster than anyone planned for, and oversight is only beginning to follow. But the accountability layer did not arrive with them.
The systems we use to answer who did this, what were they allowed to do, and who approved it were built around human users and known application paths. Identity, audit logs, access controls, and approvals still matter. They still work. They were just not designed for actors that plan across steps, call tools, and choose paths during a run.
So for the first time, authority and accountability have come apart.
That is the gap Guard0 closes.
We want the agents in your business to be as accountable as the people who run it: one place to see what your agents are, know what they did, and know who stands behind them. We do not think the answer is to slow agents down. Accountability is what lets you trust them with more. It is what let companies trust people with real authority. It can do the same for agents.
We do it in three layers.
The Agent Graph
It starts with seeing them in one place.
Guard0 finds the agents, models, tools, and permissions running across your company, including the ones set up for a project and quietly left running. It maps what each agent is connected to, what it can reach, and where its authority begins.
This is what your agents are.
The Decision Record
Knowing an agent exists is not the same as knowing what it did.
Picture a simple case. An agent reviews a customer account, checks the refund policy, decides the customer qualifies, and calls the payment system.
A week later, someone asks why. Identity can tell you the agent signed in. An audit log can tell you the payment was sent. Neither can reconstruct the full run: what data the agent saw, which tools it called, what policy allowed the action, what changed before the decision, and what evidence stood behind it. That context is live while the agent is acting. By the time you investigate, the run is over.
So Guard0 records the decision trail as it happens: what the agent touched, what data moved, which tools it called, and what stood behind each decision that mattered.
A record you can search, review, hand to an auditor, and stand behind. This is what your agents do.
The Accountable Boundary
A record explains the past. It does not shape the present.
Every person trusted with real authority has a scope they operate within and someone who answers for them. Your agents should have the same. Guard0 gives each agent an owner who knows why it exists, a boundary that defines where it can act, and a way to intervene when it approaches that line.
No one has to approve every step. The agent keeps working. It simply gets what everyone else with real authority already has: someone responsible for it, and a line it cannot cross alone.
This is who stands behind them.
You will run many models, frameworks, and agent runtimes. Some will come from model labs, some from open source, some from your own teams. You will keep changing them. But the record of what your agents did has to outlast all of them.
A business should be able to hold every agent to account, no matter who built it or where it ran. So Guard0 keeps the accountability layer open, portable, and under your control.
Agents are going to do more, not less. The teams that get the most from them will be the ones who can hand an agent real authority and still answer for everything it does. That is what we are building. So you can trust your agents the way you have always trusted your people.
Authority and accountability, back together.