“Compliance violations get discovered at audit time, not deployment time. Often months after the damage is done.”
Governance
shouldn’t slow infrastructure down.
ops0 builds governance into the infrastructure lifecycle, before code is reviewed, before it ships, and after it’s live.
ops0 is a multi-cloud infrastructure management platform with AI-powered discovery, codification, governance, and operations.
Show me what’s running that Terraform doesn’t know about.
7 unmanaged resources found in production.
- 2Load balancersus-east-1
- 3IAM policiesglobal
- 1Public S3 bucketexposed
- 1Orphaned DB snapshotrds
What changes when
governance is built in.
Write IaC and hope it matches reality.
Every change starts from what's actually running.
Find compliance issues during review or audit.
Compliance is proven before the plan is reviewed.
State files you can't read, can't query, or trust.
State becomes something you can ask.
Paste sensitive context into generic AI tools.
Secrets are redacted before AI ever sees them.
Separate tools for IaC, compliance, cost, and Kubernetes.
One platform, one audit trail, one operating model.
Governance is
the architecture.
Governance built into the workflow.
Review should confirm the change, not discover the problem. By the time you see a plan, the guardrails are already in place.
You can't govern what you can't see.
Policy without visibility is fiction. Start from what’s running, not what you hope is there.
One compliance engine, before and after deploy.
One policy engine. Before deploy and after it. One system, one rule set, one source of truth.
One request.
One governed workflow.
From the first ask to the audit trail, the same system stays in control.
Ask
An engineer asks for a new S3 bucket with the company’s standard encryption and access policies.
Codify
The AI codifies the change with your policies already in place. The guardrails were in the prompt, not added later.
Gate
OPA checks the plan. Cost is estimated. Risky changes stop for review. Nothing ships to production without signoff.
Deploy
The apply runs, and every decision around it is recorded.
Watch
Catch drift before it becomes an audit finding.
Prove
When the auditor asks, the evidence is already there.
The layer most platforms
never reach.
Platform incident reasoning
- Restart spike
- Readiness probe failures
- Memory pressure event
- Correlated across 3 pods
A config change after the last deploy introduced an invalid Redis endpoint. Pods are failing during startup and recycling under load.
Suggested next step: review config rollback or patch Redis host before redeploy.
It does not just read the incident. It knows what shipped it.
Infrastructure as a queryable database.
State stops living in files nobody opens. Ask the system directly, with cost and security already in view.
Sensitive data caught before AI sees it.
Secrets and regulated data are stopped in the browser, before any model sees them.
Depth isn’t a marketing claim. It’s measurable.
AI is everywhere in the platform, not bolted on as chat.
Cloud keys, API tokens, database URLs, financial records, PII, PHI, biometrics. Caught in the browser before any AI model sees them.
Defined across six categories and cross-mapped to ISO 27001.
Built across clouds, Kubernetes, and configuration management.
The surface area we cover.
100+ AWS resource types across 29 scanners. 70+ GCP types. 60+ Azure types. Full OCI SDK.
Dual-engine support at the project level. Retroactive Oxid enablement on existing Terraform projects. Automatic post-deployment state sync.
31 resource types in cluster detail. Helm releases. CRDs. TLS certificate inventory. Orphan resource detection. Trivy vulnerability scanning. OpenCost cost analytics. AI incident reasoning.
Pre-deploy policy gates. State-based scans. Auditor-shareable PDFs. Password-protected report links. Executive dashboard. 47 SOC 2 controls fully defined with ISO cross-mapping.
Next StepShip at AI speed.
Stay governed.
Connect your cloud accounts. ops0 discovers what is running, codifies it into IaC, and enforces compliance on every deployment.
