Solutions
Whatever you have to answer for, Atlas runs it.
One live model — configured to your taxonomy, connected to your stack. The examples below are illustrative; Atlas is not limited to them.
01 · The principle
Universal by construction.
Atlas is built on a semantic model of risk — entities, relationships, requirements, controls, evidence, risks, incidents, findings, actions. Every risk discipline maps onto those objects. The risk domains you cover today and the ones that don’t have a name yet run on the same backbone.
02 · Examples
How teams use Atlas, by way of example.
Not a six-solutions product. These are starting points — what customers most commonly stand up first.
- 01
Third-party and supplier risk
Relationships, due diligence, continuous monitoring, contractual obligations — modelled natively, governed independently.
- 02
Operational and IT risk
Risk register, RCSA, KRI/KCI, loss events, incident management — on the same backbone as everything else.
- 03
Regulatory compliance and obligations
Obligations management, control mapping, regulator response. Marketplace drops in the frameworks; Atlas keeps the mappings live.
- 04
Internal audit
Engagement planning, fieldwork, findings, action tracking — with live evidence linked to the controls under review.
- 05
Policy and governance
Authoring, approval, distribution, attestation, retirement — lifecycle on the same model that runs the rest of your program.
- 06
AI risk and emerging frameworks
Drop in the EU AI Act, ISO 42001, your internal AI standard. Atlas instantiates and reconciles — no module purchase, no rebuild.
03 · Industries
Built for regulated organisations, agnostic to industry.
Financial services, insurance, healthcare, life sciences, energy, utilities, technology at scale, government — Atlas doesn’t prefer a vertical. The shape of your program does.
Pick the program you run. We’ll show it back to you in Atlas.
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