01Any cloud.
Bring cloud AI into a shared governance model. Use your platforms’ native capabilities without maintaining separate policy silos.
Platform / Govern everywhere
Any cloud. Any SaaS.Hybrid. Any framework.One policy.
Your AI runs everywhere. Govern it as one.
Unify governance across your models, agents, and business applications—so teams can put AI to work without rebuilding the stack.
Deep integrationsNative + runtimePolicy-linked evidence
AWS Bedrock · Cloud AI
Explore Bedrock ↗Bring cloud AI into one governance model—from platform-native controls to agent actions.
Native platform controlsRuntime governance
01Keep your stack.Build on what works.
02Scale with confidence.Put more AI to work.
03Show the evidence.Make governance visible.
Your AI strategy should not stop at platform boundaries
Standardize governance.
Not your entire technology stack.
An agent in your cloud. A model from another provider. A business action in Salesforce. Bring them together under one governance policy—without giving up the tools your teams choose.
Keep what works.
Bring governance to your existing stack—not your stack to another agent platform.
Add AI, not policy sprawl.
Use a shared policy source instead of a separate rulebook for every platform.
Move forward with evidence.
Give security and compliance a clear connection between policy, action, and decision.
In the product
See one policy across your stack in the console.
A recorded walk through the screens behind this page: one governance policy previewed for AWS Bedrock and for Azure OpenAI with the same policy hash, the fleet on one map across clouds and local infrastructure, and decisions from cloud, SaaS and workflow agents in one log.
One policy, step by step
Real product screens from a demo tenant with seeded activity. The provider outputs are previews of what the policy becomes for each target; nothing was applied.
Recorded against a demo tenant with seeded activity. Real product screens, not a mock-up.
Built for the stack you have
Deep integrations.
One governance model.
Your cloud. Your business applications. Your infrastructure. Your frameworks. Keep the freedom to choose—and bring governance with you.
02Any SaaS.
Extend governance to the business applications your agents use—from customer workflows to enterprise operations.
03Hybrid & private.
Keep workloads where they belong—across cloud, private infrastructure, and data platforms. Carry governance with them.
04Any framework.
Let developers choose their tools. Connect homegrown agents, MCP ecosystems, and agent frameworks to one governance model.
What makes the approach different
One policy.
Two ways to put it to work.
Native controls inside your platforms. Runtime governance as agents act. One policy connects them—so governance follows the work.
01 / NATIVE CONTROLS
Use each platform’s own controls.
Turn shared policy into provider-native controls. Keep one source instead of maintaining separate rulebooks for every cloud.
Shared policyNative platform controls
AWS BedrockMicrosoft AzureGoogle Cloud
Explore policy governance 02 / RUNTIME GOVERNANCE
Govern what agents actually do.
Decide when an action can proceed, needs human approval, or must stop. Connect the decision to the policy behind it.
AllowDenyApprovalRedactMaskConstrain
Models. Tools. Business actions. Govern the work—not just the answer.
Explore runtime governanceTwo U.S. provisional applications are on file covering the compiler.
Make platform differences visible
Know what your policy becomes.
See how policy translates into each platform’s controls. Keep the differences visible before you deploy.
Autonomy with accountability
Let agents work.
Keep people in control.
WHEN REVIEW IS AVAILABLE
Hold for review.
The action waits for an authorized reviewer. People stay in control of consequential decisions.
Human oversight
WHEN APPROVAL CANNOT BE COMPLETED
Block the action.
The action is stopped rather than allowed to bypass the approval requirement.
No unreviewed execution
Different paths. The same business rule.Hold or deny—never bypass the requirement.
Built to move the business forward
Give every team a reason to say yes.
SECURITY
Enable AI.
Keep control.
Let agents take useful action, with policy and human oversight where the consequences matter.
See runtime controlsPLATFORM & AI ENGINEERING
Build on
your terms.
Keep the tools your developers choose. Bring governance to the stack—not the other way around.
Explore integrationsRISK & COMPLIANCE
Show the reason.
Not just the result.
Connect decisions to policy and evidence so governance can be reviewed, not reconstructed.
See the evidenceFrom pilot to governed production
What will you put
into production next?
Bring the AI workflow you want to launch. Let’s map the controls, approvals, and evidence that give your team the confidence to move forward.
Continue
Platform overviewFive stages, seven product surfaces, one policy object Policy & GovernanceOne policy, from intent to evidence Runtime EnforcementDecide at the action boundary Inference & Model GovernanceGovern the model call itself Evidence & ComplianceHash-chained audit record, mapped to controls IntegrationsPlatforms and enforcement points