Policy on every call
Policy as code evaluates each request before it reaches a model or a tool. One rule set governs AI the same way it governs everyone else.
Governed AI
Build with AI. Prove every action.
AI does more of the work across your SDLC, from drafting a change to remediating an incident. Every action it takes runs through one governed gateway: checked against policy, paused for a human when it matters, and recorded. AI you can prove, not just trust.
Most AI speeds you up by becoming a black box you cannot account for. On a governed line, AI does more of the building and still passes every inspection, so you can prove what it touched, not just hope it was fine.
What AI does on the line
From a gateway to agents, all governed.
Four capabilities, one rule. Each does more of the work, and each runs under policy and human approval.
AI Gateway
One policy-checked path for every model call. Policy runs on each request, state-changing actions pause for a human, and each connector gets scoped, short-lived credentials. It speaks a standard chat interface, so your clients connect unchanged.
Explore AI GatewayAI Copilot
A copilot in the portal that helps across the lifecycle and drafts the change. Every action runs through the gateway, so nothing state-changing happens without a person signing off. Its output is a draft you review, not an actor working on its own.
Explore AI CopilotAIOps
An autopilot that watches services, spots issues, and proposes a fix you can read first. On your approval it runs guarded self-healing (restart, rescale, roll back) under cooldowns. Opt-in per service, so you stay in charge of scope.
Explore AIOpsAgentic AI
Agents that take action across the SDLC, not just answer. Each runs against a fail-closed authorization registry, on a durable runtime, with human approval for state-changing steps, its own scoped and time-limited identity, and a full audit trail.
Explore Agentic AIHow it stays governed
The same gates a person passes, AI passes too.
A human approves what matters
Any state-changing action pauses for a person to approve before it runs. AI proposes; you decide. There is no path around the gate.
Scoped, short-lived credentials
When AI touches a connector it gets narrow, expiring credentials from a dedicated secrets store, so an agent can only ever reach what it was granted.
Recorded, so you can prove it
Every action lands in the tamper-evident audit trail, and each artifact records which assistant or model touched it. You can show what the AI did, not just trust that it was fine.
On your terms
Your model, your boundary, your budget.
Bring your own model
Point the model-agnostic layer at the LLM you choose, with no markup on tokens. Or have us host inference with an included quota and hard caps.
Inside your boundary
Run governed AI on your own infrastructure, all the way to air-gapped, so prompts and data never cross your edge.
Budget caps you set
Usage is governed and metered against the caps you define, so AI spend stays predictable instead of running away from you.
Need it fully disconnected? Governed AI runs on your own models inside a sovereign, air-gapped deployment.
Let AI do more. Keep the proof.
See the gateway, the approvals, and the audit trail working on your own services, with the model you already use.