Noru fits when
You carry privacy and EU regulatory obligations alongside security frameworks — GDPR Article 30, DPIAs, NIS2, DORA, the EU AI Act — and want them run from one control library with EU data residency.
Comparison
Drata is profiled from its own public positioning, then compared with Noru where both can be evidenced. Unsourceable claims are left out.
Drata calls itself an agentic trust management platform, built around AI agents that automate compliance work across connected systems. It lists 30+ pre-built frameworks, including SOC 2, ISO 27001, GDPR, NIS 2, DORA, ISO 42001, HIPAA and FedRAMP; the EU AI Act appears within its AI agent governance product, which it marks as limited availability.
Drata does not publish prices. Its plans page names three compliance tiers — Foundation, Advanced and Enterprise — with Foundation covering up to 50 employees and one pre-mapped framework, and lists additional frameworks as an add-on on every tier. Third-party risk management is sold separately.
Customers choose a hosting region — North America, Europe or Asia-Pacific — and audits run through a directory of partner audit firms. We have not characterised Drata's onboarding time or automation depth, because we could not source those from Drata's own pages.
Decision
A quick way to evaluate which platform matches your compliance goals.
You carry privacy and EU regulatory obligations alongside security frameworks — GDPR Article 30, DPIAs, NIS2, DORA, the EU AI Act — and want them run from one control library with EU data residency.
You are buying primarily on security compliance automation, want US government frameworks such as FedRAMP in the same catalogue, and are happy to price frameworks individually as you add them. Evaluate both against your own framework list.
| Feature | Noru | Drata |
|---|---|---|
| Pricing model | Platform plus capability packages, scoped per deployment | Not published; three named tiers |
| Published framework catalogue | 30+ frameworks, mapped once and reused | 30+ pre-built frameworks |
| Framework scope at entry | Packages licensed to the obligations you carry | One framework on Foundation, up to 50 employees |
| EU AI Act | Supported framework | Within agent governance (limited availability) |
| 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 by default | Customer chooses North America, Europe or Asia-Pacific |
| AI client access (MCP) | Model Context Protocol server for Claude, ChatGPT, Cursor and others | Not stated |
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 alongside SOC 2 and ISO 27001
EU data residency by default, with DPA and SLA in every deployment
A Model Context Protocol server so AI clients can query the live compliance programme
Statements about Drata are taken from Drata's own public pages, listed under Primary sources below.
We have not asserted anything about Drata's setup time, automation depth or user experience, because those could not be sourced publicly at the time of review.
Capability claims about Noru are our own and are not attributed to Drata.
Claims were last checked on 2026-10-17. If something here is out of date, tell us and we will correct it.
Neither publishes prices. Drata's plans page names three tiers and routes buyers to sales; Noru licenses the platform plus the capability packages your obligations require, scoped per deployment, with a written quote after a demo. Treat any specific figure you see quoted for either as unofficial.
Noru's differentiation is privacy and EU regulatory depth: Article 30 records and a data map derived from source code, plus NIS2, DORA and EU AI Act coverage, with EU data residency. On core security compliance automation both platforms compete directly, so compare them against your specific framework list.
Yes, Noru supports both, mapped through one control library so evidence collected for one framework counts toward the other. Whether it is the better choice depends on whether privacy and EU regulations sit alongside them in your obligations.
Yes. Evidence is collected from your own systems rather than locked in the incumbent, so migration is largely reconnecting integrations and re-mapping controls. We will scope it with you during a demo.
No. Customer data is never used to train, fine-tune or evaluate any model — Noru's or a provider's — and every AI feature runs under zero data retention terms, so the model provider returns the output and keeps no copy of the prompt or response. Both commitments are contractual, in Section 4.6 of our Terms and Sections 3.5–3.6 of our DPA. We have not characterised Drata's position here because we only publish competitor claims we can trace to a public source — ask them for the same commitments in writing.
Because we only publish competitor claims we can trace to a public source. Rather than fill a table with assertions about Drata's onboarding or automation that we cannot evidence, we left them out. We would rather the comparison be short and correct.
Every claim about Drata on this page comes from the public pages below, last checked on . Competitor products and prices 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.