AI agents · Compliance that runs itself
Agents that run your compliance program, not just track it.
Most platforms hand you a dashboard and a checklist — the work is still yours. Noru gives you agents that act across every system you run: mapping controls, gathering evidence, drafting policies and flagging what's drifted, grounded in your live program and supervised by your team.
The way this usually goes
GRC tools track status; someone still has to do the work — map the control, find the screenshot, chase the owner.
Evidence goes stale between audits because nothing is watching the systems in between.
The work scales with every new framework, system and hire — but the team doesn't.
Who it's for
One system, every stakeholder
Security & CISO
Hand the busywork to agents that act across your stack, and keep your team on the judgment calls.
Compliance
Controls mapped, evidence gathered and gaps surfaced continuously — not in a pre-audit scramble.
Engineering
Agents meet your systems where they are — code, cloud, identity — over the APIs you already expose.
Leadership
A program that runs every day, with a human in the loop on everything that matters.
How it works
What Noru does instead
01
Grounded in your live program
Agents reason over your actual controls, evidence, risks and connected systems — not a generic knowledge base — so what they do is specific to how your company runs.
- Reads your control library, evidence vault and risk register
- Acts over your connected systems, not a sandbox
- Every action traceable to the data that prompted it
02
It acts, it doesn't just answer
Cortex drafts policies, maps controls across frameworks, gathers evidence and opens the next task — work that lands in your program, ready for review.
- Drafts and maps policies to the controls they satisfy
- Pulls evidence from connected systems and links it
- Surfaces the next most valuable task, with context
03
Human in the loop by design
Nothing publishes itself. Agents propose; your team accepts, edits or dismisses — so you get the leverage without losing control.
- Every suggestion is a reviewable draft
- Full audit trail of what changed and why
- Approvals and ownership tracked per item
04
Reachable from where you work
Query and direct your program from Claude, ChatGPT, Cursor or the terminal over MCP — your existing Noru API key, no new infrastructure.
- Model Context Protocol over your existing API key
- Ask about risk, readiness and vendor posture in plain language
- Works in Claude, ChatGPT, Cursor, Perplexity and Raycast
What's included
Platform modules working together
This solution runs on the same system of record as everything else — add modules later without re-platforming.
Cortex
Ask anything, act on answers
Ask anything about your program. Cortex drafts policies, maps gaps and suggests the next most valuable task.
Controls
Implement once, satisfy many
One control library, mapped across ISO 27001, SOC 2, GDPR and 20+ frameworks — the same evidence reused everywhere.
Evidence Vault
Never chase a screenshot again
Evidence collected continuously from your systems, versioned, tagged and linked to controls automatically.
Policies
Keep every policy acknowledged
AI-assisted drafting, versioning, approvals and acknowledgements, mapped to the controls they satisfy.
Works with
- more
Request a demo
See it on your own data.
A walkthrough tailored to this use case, with your questions answered by practitioners.
- 45 minutes, tailored to the frameworks and use cases you care about
- Answers from practitioners, not a sales script
- Leave with a concrete rollout plan — or a clear no-fit
FAQ
Frequently asked questions
What can the agents actually do?
Cortex drafts and maps policies, maps controls across frameworks, gathers and links evidence from connected systems, and surfaces the next most valuable task. Each output is a reviewable draft — nothing enters your program without a human accepting it.
Is this just a chatbot?
No. Cortex acts on your program: it produces drafts, mappings and evidence links that land in Noru for review, not just answers in a chat window. You can also reach it from Claude, ChatGPT or your terminal over MCP.
How do you keep the AI from getting things wrong?
Agents reason only over your live program data, every action is traceable to the data that prompted it, and everything lands as a draft a human approves. You get the leverage of automation with a full audit trail and a human in the loop.
Do we have to send our data to a model provider?
Cortex runs grounded in your Noru program. AI enrichment is opt-in per organization, processed in the EU, and supervised — every suggestion is a draft until your team accepts it.