Compliance that runs itself.

Noru is an enterprise trust platform. It connects to the systems you already run, keeps your risk, evidence, privacy records and vendors continuously current, and turns them into live proof for the customers, board members and regulators who need to believe you — not a PDF from last quarter. Trust your company can prove, continuously.

Whatever your buyers and regulators ask for. Noru ships with ISO 27001, SOC 2, GDPR, HIPAA, PCI DSS, NIS2, DORA, NIST CSF, CIS v8, FedRAMP and 30+ frameworks in total — and because controls are mapped once and reused, adding the next standard reuses the evidence you already collect instead of starting a new program.

Solutions bundle the platform's modules around a concrete outcome. Agentic Compliance puts AI agents to work running your program across every system. Privacy Automation derives records of processing from the systems that hold the data. Regulatory Compliance covers the frameworks incumbents skip — DORA, NIS2, CRA and Nordic sector regulators. AI Governance builds an AI register from your code and records the EU AI Act's claims per system, with ISO 42001 on the same controls. Third-Party Risk Management finds vendors from your identity provider and assesses them with sourced answers, and Risk Management keeps a live register fed by your systems and quantifies it with Open FAIR.

Noru integrates with AWS, GCP, Microsoft Azure, GitHub, GitLab, Entra ID, Google Workspace, Databricks, Slack, Linear, and more, turning their signals into continuous, mapped evidence. AI clients such as Claude, ChatGPT, Cursor, and Perplexity can also query your live compliance program over the Model Context Protocol (MCP).

No. Noru sits on top of the systems your teams already use — cloud, identity, code, and collaboration tools — and turns their signals into mapped evidence. There is nothing to migrate and no parallel process to maintain.

No — never. Your controls, evidence, policies, privacy records and prompts are never used to train, fine-tune or evaluate any model, ours or a provider's. Every AI feature also runs under zero data retention terms, so the model provider processes your prompt to return the answer and keeps nothing afterwards: nothing stored, nothing queued for human review, nothing reused. Both commitments are contractual — Section 4.6 of the Terms and Sections 3.5–3.6 of the DPA — not a setting you have to find and switch off.

Book a demo and we'll walk through the platform against your frameworks and use cases — the packages you'd licence, the systems we'd connect, and what a rollout looks like. You'll leave with a concrete plan or a clear no-fit.