Agent Fleet Guardian puts every agent in the company — built on MeetLoyd, on another vendor's platform, or by your own developers — under one registry and one set of rules. Autonomy is earned on measured results, a stop halts an agent or a whole fleet, and the audit trail is written by something other than the agent that acted.
Your agents come from several places, and each platform's guardrails live inside that platform — covering its own agents, its own gateway, its own identities. An agent built elsewhere is at best listed, rarely controlled. And the log of what an agent did is usually written by the same system that did it.
Discovery across your identity provider and cloud AI services, plus agents registered by hand. One register, with an owner, a scope and a risk level per agent.
Policies by domain and criticality, cascading from the company to the workspace, team and agent — checked before an action, not reviewed after it.
An agent starts supervised. It is promoted when its measured compliance holds, and demoted when it drifts. Every change of level is recorded with the evidence behind it.
Pause one agent, stop a team, or halt a fleet. The stop is written into the state the runtime reads, and recorded — not a button that hopes the agent listens.
Each agent carries its own cryptographic identity from creation, and delegation from one agent to another is recorded as a chain — so every action is attributable.
A tamper-evident audit trail and signed attestations, exportable to your security and compliance tools, mapped to the regulations you answer to.
How far we govern an agent depends on how it reaches the world. We tell you which depth each of your agents is at.
Found through discovery and registered with an owner and risk level. We report on it; we do not sit in its path.
Its model and tool calls go through MeetLoyd with its own credential. Rules, budgets, tool grants and the stop apply to every call.
Built and run on the platform: every governance control applies, from identity at creation to earned autonomy per team.
The agent passes its qualification scenarios — normal, degraded, traps and attacks — before it touches production.
It recommends; a person acts. Its recommendations are scored.
It acts after a person approves. What counts is how often it is approved without correction.
It acts alone inside its bounds, once its record holds. It is demoted automatically when the record drifts.
Nothing is autonomous by default, and nothing is capped forever: the evidence decides, and the decision is recorded.
Agent Fleet Guardian is operated by your own security and AI teams — as a service, or installed in your data centre or sovereign cloud from a signed release. If you prefer a partner to operate it, they run the same thing.
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