SpreeOps unifies DevOps, SRE, platform and security engineering into one outcome: cloud infrastructure that passes audits because it was engineered to, continuously monitored across SOC 2, ISO 27001, HIPAA and PCI.
Most compliance work treats audits as paperwork: policies written, screenshots collected, gaps papered over until the next cycle. It doesn't hold, because the controls an auditor checks are infrastructure decisions: IAM, secrets, logging, network isolation, recovery.
SpreeOps starts from the other end. We build the infrastructure so the controls are true by construction. The evidence an auditor wants isn't assembled after the fact; it's a byproduct of how the system runs every day.
How we work →Policy as Terraform, OPA and pipeline gates
Least privilege and encryption from day one
Audit logs fall out of normal operation
SpreeOps Compliance connects to your AWS and Azure, collects read-only evidence continuously, and maps it to SOC 2, ISO 27001, HIPAA and PCI, flagging drift the moment a control breaks, with an agent that explains every fix, drafts the change, and answers your security questionnaires.
Read-only evidence from AWS & Azure, mapped to SOC 2 / ISO / HIPAA / PCI, with drift detection and remediation the moment a control regresses.
Cloud-native platforms designed compliant and disaster-tolerant by construction: IAM, encryption, network isolation and recovery baked in.
Gap assessments and audit-readiness for SOC 2, ISO 27001 and HIPAA, with the technical evidence auditors actually accept.
Least-privilege IAM, secrets management, encryption everywhere, and zero-trust network design: implemented, not just recommended.
Reliability, observability and disaster recovery engineered so availability controls (like A1.2) are provable, not aspirational.
Controls as code, GitOps change gates and automated remediation, so fixing a finding also closes the gap for good.
Adopting AI opens a new compliance surface: new frameworks, new data-exposure risk, and a swarm of non-human identities. We make AI governance true in your infrastructure, and secure the data your models and agents are allowed to touch.
Explore AI Compliance →A national accounts-payable recovery audit firm handling billions of lines of client financial data. We're rebuilding their platform from scratch onto an Azure-based architecture that's SOC 2 compliant and disaster tolerant by design, continuously monitored, with evidence generated as it runs.
Read the engagement →You need a SOC 2 report to close enterprise deals, one engineered right, not scrambled the week before the audit.
Regulated, high-stakes data that demands disaster tolerance and provable controls end to end.
HIPAA safeguards for electronic PHI: encryption, access control and audit trails built into the platform.
Underserved by AWS-first tooling. We're multi-cloud, with deep, native Azure coverage.
Most compliance automation is a layer bolted on top of your cloud. We're infrastructure engineers who make the controls true underneath, where audits are actually won.
Start a conversation →Controls become Terraform, OPA and pipeline gates, true by construction, not asserted after the fact.
Real, native Azure coverage alongside AWS, which the market incumbents under-serve.
Every scan is diffed against the last, so drift is caught the moment a control regresses.
Findings come with plain-English explanations, concrete fixes and audit-ready answers.
Immutable, timestamped, generated by the system itself, not screenshots in a folder.
We brought SpreeOps in to rebuild our platform from the ground up: a cloud-based architecture that's SOC 2 compliant and disaster tolerant by design. The work so far has been excellent. They understand that compliance isn't a checkbox. It's how the infrastructure gets built.
No pitch. Just architects talking through your infrastructure and where your compliance gaps actually are.