Enterprises will not let AI agents near production systems until what those agents can do is bounded, attributable, and reversible. Entrelid is the layer that makes it so.
An agent typically runs with the access of whoever launched it. One prompt injection, one poisoned tool description, and the exposure is the operator's entire access footprint — not the task's.
Agents pass work to other agents as prose. Small errors propagate and amplify, and afterward no one can reconstruct who authorized what, on whose behalf.
When something goes wrong mid-run, most architectures offer credential rotation and hope. There is no mechanism to retract what has already been handed further down the chain.
Regulated enterprises do not deploy what they cannot bound, prove, or reverse. That is the gate. Entrelid is built for it.
The Agent Delegation Gateway governs what agents are permitted to do — and produces the record of what they actually did.
Each task carries only the access that task requires, for only as long as it runs. An agent cannot end up holding more authority than the one that delegated to it.
Work moves between agents as checked, structured results rather than as prose one agent has to take on faith. Each handoff is a checkpoint, which is what keeps a small early error from becoming a wrong answer six steps later.
Every step is written to an immutable record as it happens — which agent, acting for whom, under what grant, with what result. The audit trail is a product of execution, not something assembled afterward from log files.
Authority can be withdrawn while work is still running, and the withdrawal reaches work already delegated onward. Results produced after withdrawal are inadmissible.
We don't generate text, choose models, or write prompts. Build your agents however you like.
Entrelid reduces what a compromised agent can reach. It does not replace endpoint protection, network monitoring, or your SOC tooling.
Entrelid preserves exactly what happened and who authorized it. It does not establish that what an agent produced was correct — that is what verification policy and human review are for.
Designed to govern agents built on the major orchestration frameworks and agent SDKs, without rewriting them.
Available over REST and over the Model Context Protocol, so agents connect the way they already connect.
Orchestration runtimes solve execution reliability inside one trusted boundary. Entrelid governs authority across boundaries. Most teams need both.
Chained analysis where each stage consumes a verified result rather than the previous agent's narration — the difference between a demo and something that survives contact with real data.
An agent reaches only the tools its task was authorized for. A tool that advertises itself persuasively gains nothing by doing so.
Where policy requires a person to approve, that approval is captured as part of the delegation record and attributed to a specific individual — not as an out-of-band email nobody can find later.
Work can be delegated to an agent outside your trust boundary with authority scoped to that one task, for its duration, fully attributable — and fully withdrawn when it ends.
The patents we hold makes implementation of these features secure. See Entrelid Security.
Entrelid is in active technical evaluation with enterprise agent-platform partners, with a working end-to-end implementation available for scoped proof-of-concept engagements.
We qualify our claims by build state, and we'll show you that breakdown directly under NDA rather than making blanket assertions here. If you're evaluating agent governance seriously, that conversation is more useful than a marketing page.
Dataparency LLC · Novi, MI · Colorado Springs, CO
Entrelid™ Agent Delegation Gateway