Solutions
Govern the agents you use, and the agents you ship
Every enterprise now consumes agents and increasingly ships them. Dome is the operations layer underneath both: one authentication model, one policy engine, one audit trail across the estate.
Platform
Enabling a system
of control
Dome attaches a control point to each primitive of every agent — code, tools, and models — on a shared control plane of access, authorization, and audit. One control surface across the agentic estate, regardless of framework, model, or cloud.
Explore the platform
Connect
Register agents with a managed record. Attach the tools and models they're permitted to reach. Provision credentials at the boundary, not in agent code. One governed path for every agent, regardless of runtime or cloud.
Secure
Every tool call is evaluated against Cedar policy before it executes. Per-agent, per-tool, per-action rules. Default-deny, fail-closed. Deterministic where it can be, deliberative where it must be.
Operate
Every governed action is audited with full context — who, what, under which rule, with what result. Monitor agent health. Stream events to your existing SIEM, APM, and SOAR.
Agentic governance
Patterns of Enterprise Agents
Enterprises run agents in two structurally different ways: as a consumer of agents from elsewhere, and as a provider of agents to customers. The same control plane serves both, and most engagements start with whichever side is most acute.
AI In
Agent Consumer
The business uses agents across desktops, SaaS, and owned systems. A broad and fragmenting array of agent sources, each reaching into enterprise data and tools.
Examples: Teams building ops, support, and sales agents on internal data · platform teams onboarding desktop assistants (Claude, Copilot, Cursor) · workflow agents wired through n8n, Zapier, or Slack · SaaS agents pulled in by business units.
Explore the patternAI Out
Agent Provider
The product ships agents to customers, or exposes an MCP surface they can drive. Two surfaces to operate now: a developer-facing API and an agent-facing tool layer, with one backend underneath.
Examples: Teams shipping agentic features inside SaaS products · teams exposing existing APIs as an MCP surface for customer agents · ISVs whose APIs are now driven by customer-built agents · platforms onboarding integration partners building on the product.
Explore the patternUse cases
Pick the operational pain to solve first
Most engagements start with one of three concrete jobs. Each maps to a control point of the platform, and each composes with the others as the estate grows.
Use case
Onboard agents
Register every agent against a single tenant. Bring them under authentication, authorization, and audit from day one.
Read moreUse case
Consolidate tool access
Put every MCP and tool call behind one gateway. Limit access, enforce policy, audit every action.
Read moreUse case
Broker model access
Route model traffic on policy, cost, and availability without rewriting agent code.
Read moreBy role
Built for platform, security, and finance teams
Platform teams unblock the org. Security teams gain attribution and audit. Finance gets a handle on model and tool spend before it fragments. The control plane is the same; the framing meets each team where they already operate.
Platform teams
Run one operations layer across the agentic estate. Unblock the org without absorbing every team's tooling debt.
Read moreSecurity
Authentication for every agent, policy as code, attribution end-to-end. Audit what was decided, not just what was logged.
Read moreFinance
When code is cheap, governance is the scarce resource. Consolidate model and tool spend before it fragments.
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