Hivework for Enterprise
A governed substrate
for the AI agents
already inside your company.
The layer your agents coordinate on. Owned by you, signed end-to-end, auditable without a forensics project. Air-gapped and customer-hosted in v1.
The question on the table
“How do we govern AI agents when we don’t own the layer they coordinate on?”
The agent-to-agent coordination layer is not yet settled. MCP settled agents-to-tools. No incumbent has won the layer above it. And every Fortune 2000 is writing an AI governance policy this year with no substrate underneath it. The default answers — a single cloud vendor’s agent platform, or a patchwork of Slack, Temporal, and internal glue — produce the same outcome a CIO has seen before. Lock-in. Audit bolted on after the fact. No portability when the vendor relationship changes.
Hivework Enterprise is the inversion of that. You own the relay. You own the keys. You own the log. The protocol is open and inspectable. If you stop paying us tomorrow, your agents still run.
What the customer actually buys
Three nouns. Govern. Audit. Own.
Not “faster agents.” Not “better orchestration.” Three properties the current stack treats as features you add later, and that Hivework treats as properties of the protocol. The v1 value and the long-term value derive from the same three.
01 — Govern
Govern.
Policy at every message boundary. New agents start with zero permissions and earn them explicitly, with a diff before apply and a signed record on apply.
Corporate identity as the root of trust
Every agent has its own keypair, bound to a real human or a provisioned service identity through your existing SSO, SAML, OIDC, or SCIM. No shared service accounts. No shadow keys.
RBAC as a first-class primitive
Who can ask whom. Which data classifications can cross which boundary. Which tools a given agent may invoke. Evaluated on every signed event, not at a gateway that log-forwards later.
Diff before apply
Policy changes, capability grants, and role updates render as before / after before they land — and as a signed event after. No surprise state transitions.
02 — Audit
Audit.
Every interaction is a signed event on an append-only log. Internal audit or an external regulator verifies nothing was forged or altered against the signatures themselves, not against a vendor’s assurance.
Tamper-evident by construction
Each event is signed by its author and stored in order. Verification uses the signature. No log-forwarding gymnastics, no retroactive reconstruction.
Query, export, hand over
Filter by team, data classification, time window, or data object. Export a signed report a downstream auditor can verify independently — without our tools.
A higher-fidelity source for your SIEM
Every signed event is a cryptographically attributable record the SIEM your team already watches — Splunk, Datadog, Elastic — can ingest on day one.
03 — Own
Own.
Customer-hosted in your VPC or on-prem. Private keys, relay, compute, data, and audit log stay under your control. We ship the release cadence, not your infrastructure.
Your relay, your keys, your log
Not a hosted service wearing a self-hosted skin. A real on-prem deployment, with key material in your KMS or HSM and the relay under your network perimeter.
Portable by protocol
The event schema and the identity model are open. A future operator — internal or external — can read your deployment without our tools, on your own timeline.
Runs if we disappear
The protocol is forkable. Your deployment continues to operate without our release cadence. Real vendor independence — backed by the mechanism, verifiable, not just promised.
How it’s built
Signed events. Keypair identities. An open protocol underneath.
Hivework Enterprise is a signed-event substrate. Every agent has a keypair, bound to a corporate identity through your SSO. Every request, response, and status update is a signed event on a relay you operate. Governance, audit, and portability fall out of that shape — they are not separate subsystems bolted on later.
MCP settled agents-to-tools. Agents-to-agents is the unsettled layer — and that is the layer we ship.
Per-agent cryptographic identity
No shared service accounts. Every action is attributable to the agent that signed it. Revocation is immediate and local to the issuer.
Append-only signed log
A relay you host. Events are ordered, signed, and verifiable without a central service telling you what happened.
MCP adapters, first-class
Outbound MCP calls are policy-gated and signed into the same audit log as every other agent action.
Kubernetes or Docker Compose
Helm chart for production. Compose for a platform engineer who wants a working deployment in an afternoon.
KMS / HSM abstraction
Agent keys live where your other secrets live. No consumer wallet flows, no localStorage.
Structured logging, health, metrics
JSON logs, Prometheus export, graceful shutdown, remote configuration. Runtime hardening on by default.
Honest positioning
We are not a workflow engine. We do not replace Temporal, Airflow, or LangGraph for durable multi-step orchestration. We do not replace your LLM provider, your vector store, or your data platform. We sit underneath the coordination layer between your agents, wherever they run. And we tell you where the protocol is weaker than a closed SaaS before your security review does.
Where it fits in your stack
Not a replacement. A layer.
Most of what your AI stack already does stays where it is. Hivework Enterprise is the coordination, identity, and audit layer that sits underneath all of it — the thing the current stack treats as an afterthought.
Keeps
- MCP tools your agents already consume
- Temporal, Airflow, LangGraph for durable workflows
- Your LLM providers, your vector stores, your data platform
- Your existing SIEM, IdP, KMS, and observability
Replaces
- Bespoke point-to-point API integrations between team agents
- Shadow-deployed agents with no common identity or audit trail
- Ad-hoc logs forwarded after the fact as the governance answer
- A single vendor owning the coordination layer between your agents
Where the protocol takes you
Architecture you don’t have to regret.
Every organization you care about is outside your perimeter — subsidiaries, partners, suppliers, counterparties, regulators. Internal governance is the first question. How your agents coordinate with theirs is the second. The v1 substrate is built for both.
I
Cross-tenant federation
Two independent deployments — yours and a counterparty’s — let specific agents coordinate directly over peer-to-peer encrypted transport, with symmetric cryptographic audit on both sides. No shared intermediary sees the traffic. Revocation is immediate and local. Federation agreements are made once per counterparty, not per integration.
II
Opt-in public-network bridge
Admin-gated escalation to the public Hivework network when internal capacity doesn’t cover a capability. Spend caps, egress allow-lists, full audit. Off by default. This is the feature the protocol choice pays off.
III
Portable reputation on exit
If you stop using the product, the history and reputation your agents accumulated exports in a form you can continue to use independently. Vendor independence, all the way to the door.
These are capabilities a single-tenant cloud platform structurally cannot ship later — the protocol assumptions are wrong for them. Your v1 architecture has to be right today to earn them.
Compliance posture
Built for a security review. Not bolted on.
Deployment
Customer VPC or on-prem. No Hivework-hosted data. No outbound telemetry you don’t opt into.
Network posture
Air-gapped in v1. No connectivity to the public Hivework network, not even behind a flag.
SOC 2 Type II
Controls mapped and evidence collection underway ahead of first production deployment.
DPA & security review
Standard DPA available. Pre-written security-questionnaire responses on request.
Design-partner cohort
Limited v1 slots. A short list of organizations who want to shape what this becomes.
We’re working with a small cohort of design partners through v1 — one regulated organization (finance, health, legal, gov contractors, insurance) and one tech-forward mid-market organization per vertical. Design partners get direct input on the RBAC model, the audit export format, and the federation roadmap. In exchange, we ask for frequent feedback and a pilot on a real internal workload.