Cloud Security · Policy You Can Actually Enforce

Guardrails That Hold.
Drift That Doesn't.

Continuous compliance for AWS, Azure, and GCP. Policy-as-code, drift detection, and bounded auto-remediation for the violations you trust to a script — with the rest routed to humans, fast.

AWS · Azure · GCP OPA / Rego Native Bounded Remediation Audit-Friendly
// Book a Discovery Call

30 minutes. Let's talk policy.

Pick a free slot — we'll learn your cloud footprint, current control gaps, and where automated enforcement could close the biggest exposure.

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3
Clouds, one control plane
~5m
Drift to detection
Policy
As versioned code
0
SaaS data egress
Why Posture Tools Fall Short

Findings Aren't Fixes.

  • ✗ CSPM dashboards generate 10,000 findings, fix the top ten, ignore the rest
  • ✗ Policy lives in PDFs — drift between written and enforced is invisible
  • ✗ Remediation is manual — ticket → engineer → cloud console → mistakes
  • ✗ Vendor SaaS posture tools ship your cloud metadata off-premise by design
What MutexOps Does

Write Policy. Enforce It. Prove It.

Policy-as-code guardrails sitting in front of your cloud APIs, paired with continuous drift detection and bounded auto-remediation for the rules you've decided are safe to enforce automatically.

// 01 — POLICY AS CODE

Guardrails You Can Read in Git.

OPA/Rego policies versioned, reviewed, and enforced. Same policy in pre-deploy CI gate and post-deploy drift scan.

  • Rego policy library for CIS, NIST 800-53, internal standards
  • CI gate for Terraform / Pulumi / CloudFormation
  • Post-deploy continuous scan against the same policies
  • SCP / Azure Policy / GCP Organization Policy generation
  • Exception workflow with expiry — no permanent waivers
  • Every policy change is a PR with a reviewer
// 02 — DRIFT & REMEDIATION

Detect Drift. Fix the Easy Ones.

Continuous cloud inventory diff against policy. Bounded auto-remediation for the violations you've signed off on.

  • Read-only inventory across AWS / Azure / GCP accounts
  • Diff against policy — only real violations surface
  • Allowlisted remediations (e.g. public S3, open SG) auto-fix
  • Rate-limited, blast-radius capped, reversible
  • Everything else opens a ServiceNow ticket with the fix
  • Full action log to your SIEM, no MutexOps cloud touch
How It Works

Policy In, Compliance Out.

Same policy enforced at deploy time and run time, so the gap between written and actual stays at zero.

01
Policy in Git
Rego, reviewed via PR
02
CI Gate
Terraform plan evaluated pre-merge
03
Scan
Continuous read of cloud state
04
Triage
Allowlisted → auto-fix. Else → ticket
05
Audit
Every action logged to your SIEM
Close the Drift Gap

How big is the gap between your written policy and reality?

30-minute discovery call. We'll talk through your cloud accounts, your existing posture tools, and where bounded automation could shrink the gap between policy and what's actually deployed.

// Book Your Discovery Call

Pick a time below.

One click. We'll follow up with a Teams invite.

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No SDR sequence. One email, one calendar invite.
FAQ

Common Questions.

It overlaps. The difference is philosophy: MutexOps treats policy as code you own, not findings you triage. We focus on a smaller set of high-confidence rules that we'll actually enforce — including auto-remediating the ones you've decided are safe — rather than producing thousands of low-signal findings.

Nothing, by default. Every auto-remediation rule is explicitly opted in. Common starting points: tagging missing required tags, closing accidentally public S3 buckets, removing 0.0.0.0/0 ingress on management ports. Each rule has a blast radius limit (max N resources/hour) and is fully reversible.

Native cloud identity — IAM Roles (assume-role), Azure Managed Identity / workload identity federation, GCP Workload Identity. No long-lived static credentials. Read scope by default; write scope only on the specific actions enabled for auto-remediation.

No. The control plane runs in your VPC. Cloud inventory, findings, and remediation actions stay inside your network and your SIEM. There's no outbound dependency on MutexOps infrastructure.

Yes — the policy bundle is just a Git repo of Rego modules. Use ours as a starting point, override what you need, and add your own internal-standard rules alongside. CI runs opa test on every PR.