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Compliance for the AI era · ISO 42001 · EU AI Act · NIST AI RMF

Govern the AI you adopt. Secure the data it touches.

Adopting AI opens a new compliance surface: new frameworks, new data-exposure risks, and a swarm of non-human identities. SpreeOps makes AI governance true in your infrastructure, not asserted in a policy doc, with the same continuous, evidence-backed approach that passes audits.

Book a demo → See the two pillars
AI & data frameworks we make true, mapped alongside your existing controls
ISO/IEC 42001 EU AI Act NIST AI RMF Data Security Posture (DSPM) SOC 2 ISO 27001 HIPAA PCI-DSS
// the new surface

AI didn't remove your compliance burden. It doubled it.

Every model you deploy and every agent you grant access to is a new thing an auditor, and a regulator, will ask about. Who approved it? What data can it reach? Can you prove it? Most teams can't. We make the answer fall out of how the system runs.

// how we help

Two pillars, one infrastructure-native approach.

Pillar 01

Govern the AI you adopt

Stand up an AI management system that regulators and auditors recognise, mapped to the frameworks that are landing right now.

  • ✓
    ISO/IEC 42001 readiness: an AI management system with policies, roles and controls implemented, not just documented.
  • ✓
    EU AI Act risk classification: inventory your AI use, classify each system's risk tier, and put the required obligations in place.
  • ✓
    NIST AI RMF alignment: govern, map, measure and manage AI risk against the US reference framework.
  • ✓
    Model & vendor inventory: a living register of every model, provider and agent, with human-oversight and eval controls.
Pillar 02

Secure the data & identities AI touches

The real risk isn't the model, it's what it can reach. We lock down the data and the non-human identities before AI ever gets near them.

  • ✓
    Data security posture (DSPM): find where sensitive and PII data lives across AWS & Azure, and who, human or machine, can touch it.
  • ✓
    Agent & non-human identity: least-privilege, scoped, revocable access for every service principal, API key and AI agent.
  • ✓
    Encryption, residency & retention: for training, prompt and inference data, enforced as infrastructure, not as a promise.
  • ✓
    Full audit trail: an immutable, timestamped record of exactly what data every model and agent accessed.
// how it works

From "we're using AI" to "we can prove it's governed."

1

Inventory

Discover every model, agent, API and dataset in play, including the shadow AI nobody registered.

2

Classify

Assign each AI system a risk tier under the EU AI Act and your own policy.

3

Map

Tie controls to ISO 42001, NIST AI RMF and your SOC 2 / ISO 27001 posture: one library.

4

Secure

Lock down the data and identities, least privilege, encryption, residency, in the infrastructure.

5

Monitor

Continuously: every scan diffed against the last, so AI-governance drift is caught in minutes.

// why us for this

AI governance is an infrastructure problem in disguise.

Access, identity, encryption, data residency, audit trails: the controls behind every AI framework are the exact things we already build for a living. Most "AI compliance" vendors write you a policy. We make it true where it counts: in the cloud.

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✓

Infra-native, not a questionnaire

AI controls become IAM policy, encryption and pipeline gates, enforced, not asserted.

✓

One posture, AI + cloud together

AI-framework controls sit alongside SOC 2 / ISO / HIPAA / PCI in a single, honestly-scored view.

✓

Built for the data-heavy

We already secure billions of lines of sensitive financial data: the exact bar AI adoption raises.

✓

Continuous, evidence-first

Immutable, timestamped proof of what every model and agent touched, generated by the system itself.

// who it's for

If AI is touching your data, this is for you.

🤖

Teams shipping AI features

You're putting LLMs and agents into production and need to prove the data pipeline and access model are governed.

🏦

Financial & regulated data holders

High-stakes data that can't leak into a prompt, a training set, or an over-permissioned agent.

📊

Professional-services & audit firms

Adopting AI internally while being held to the highest bar by your own clients, govern it before they ask.

// get ahead of it

Map your AI risk before a regulator or auditor does.

Book a 30-minute session. We'll inventory your AI use, flag where sensitive data is exposed, and show you the fastest path to ISO 42001 and EU AI Act readiness.

Book a demo →info@spreeops.com