Noru fits when
Privacy operations and EU regulatory depth matter: Article 30 records derived from code, DPIAs, NIS2, DORA and the EU AI Act, run from one control library with EU data residency.
Scrut is profiled from its own public positioning, then compared with Noru where both can be evidenced. Unsourceable claims are left out.
Scrut Automation describes itself as an AI compliance automation platform offering agentic AI for risk and compliance, with agents that draft policies, collect evidence, detect risks, assess vendor risk and prepare for audits.
Scrut states support for 70+ frameworks, naming SOC 2, ISO 27001, GDPR, PCI DSS, HIPAA and NIST AI RMF among them, and segments its offering across startups, growth teams and enterprise.
Scrut positions globally. Its site does not present a regional or single-territory focus, so any comparison describing it as regionally limited is inaccurate.
Decision
A quick way to evaluate which platform matches your compliance goals.
Privacy operations and EU regulatory depth matter: Article 30 records derived from code, DPIAs, NIS2, DORA and the EU AI Act, run from one control library with EU data residency.
You want the broadest published framework catalogue of the three and an agentic AI approach across risk, vendor assessment and audit prep, with packaging that spans startup through enterprise.
| Feature | Noru | Scrut |
|---|---|---|
| Published framework catalogue | 30+ frameworks, mapped once and reused | 70+ frameworks |
| SOC 2 | Supported | Supported |
| ISO 27001 | Supported | Supported |
| GDPR | Supported | Supported |
| AI governance | EU AI Act and ISO 42001 supported | Supported |
| AI approach | Cortex drafts from your evidence; humans review and decide | Agentic AI for policies, evidence and vendor risk |
| Privacy records from source code | Article 30 records derived from code and CI, using an open privacy taxonomy | Not stated |
| Data residency | EU data residency | Not stated |
| Pricing model | Platform plus capability packages, scoped per deployment | Not published |
Privacy records of processing derived from source code and CI rather than authored by hand
EU regulatory depth — NIS2, DORA, CRA and the EU AI Act — with EU data residency by default
An open privacy taxonomy so personal data is described once and reused across regimes
A Model Context Protocol server so AI clients can query the live compliance programme
The broadest publicly stated framework catalogue of the platforms compared here, at 70+
An agentic AI approach spanning policy drafting, evidence collection, risk detection and vendor assessment
Packaging that explicitly spans startup, growth and enterprise segments
Every statement about Scrut is taken from Scrut's own public pages, listed under Primary sources below.
Where Scrut does not state a position publicly, the cell says so rather than inferring one.
Capability claims about Noru are our own and are not attributed to Scrut.
Claims were last checked on 2026-08-19. If something here is out of date, tell us and we will correct it.
No. Scrut positions itself globally and its site presents no regional restriction. Comparisons describing Scrut as regionally focused are inaccurate.
Scrut states 70+ frameworks publicly; Noru covers 30+. Raw catalogue size is a weak buying signal on its own — what matters is whether the frameworks you actually carry are supported in depth and share one control library, so evidence is collected once.
Both take an AI-forward approach. Noru's differentiation is privacy operations grounded in your codebase — Article 30 records and a data map derived from the systems that hold personal data — plus EU regulatory depth and EU data residency.
Scrut describes agentic AI that drafts policies, collects evidence, detects risks and assesses vendors. Noru's Cortex drafts from evidence already in your programme, and every output is attributable and reviewable — it does not silently decide whether a control passes or a legal basis holds.
Yes, both support them. Choose on whether privacy operations and EU regulations sit alongside your security frameworks, and on whether you want records derived from code rather than maintained by hand.
Every claim about Scrut on this page comes from their own public pages, last checked on . Competitor products change — if something here is out of date, tell us and we will correct it.
A 45-minute walkthrough against your frameworks, your integrations and your evidence — and an honest answer on whether Noru is the right fit.