Cyber AI GRC

The Cyber AI GRC Software for CISOs and Their Teams

Cyber AI GRC applies artificial intelligence to cyber governance, risk and compliance. With Vailor, the AI prepares your risk assessments from your documents, your experts decide, and you present risks and actions all the way to the COMEX with dashboards exported to PowerPoint.

What is Cyber AI GRC?

Cyber AI GRC brings together cyber risk management, compliance and artificial intelligence. In a cyber AI GRC platform like Vailor, the AI prefills the pre-assessment and the EBIOS RM workshops from your documents, and proposes the effort and cost of measures. Compliance with cyber frameworks (NIS2 and ReCyF, DORA, NIST CSF 2.0, the ANSSI hygiene guide) rests on controls maintained once and linked to every framework.

Why is Cyber AI GRC essential?

Projects to assess keep multiplying, frameworks pile up and security teams do not grow at the same pace. The time goes into collection and re-keying. A cyber AI GRC tool takes that share: the AI reads, prefills and proposes, so your analysts can focus on scenarios, trade-offs and prioritising measures from P1 to P4.

Vailor: a French cyber AI GRC platform

Vailor covers EBIOS RM end to end, or a flash assessment for less critical projects. The risk register is linked to the measures in the action plan, and customisable dashboards, including a COMEX template, export to PowerPoint for the committee. As SaaS, your data is stored in France (AWS Paris region), and you choose the AI model, including a self-hosted one.

Cyber AI GRC Features

AI-assisted EBIOS RM

The AI prefills the 5 EBIOS RM workshops, your experts approve.

Risk register

Risks linked to action plan measures, prioritised from P1 to P4.

NIS2 and DORA compliance

One control maintained once, linked to every framework.

Reports for the board

Customisable dashboards, including a COMEX template, and PowerPoint export.

Benefits of Cyber AI GRC

EBIOS RM workshops prefilled from your documents
GDPR and AI Act obligations flagged from the pre-assessment
NIS2, DORA and ANSSI compliance on a single control set
Decision-maker summary and PowerPoint export for management
Fine-grained rights and custom roles, including a read-only auditor
Complete decision traceability

Frequently asked questions about cyber AI GRC

How does cyber GRC differ from enterprise GRC?

Enterprise GRC covers every risk an organisation carries: financial, legal, operational. Cyber GRC is the branch focused on the information system: assets, threats, vulnerabilities, security controls, with its own methods (EBIOS Risk Manager) and frameworks (ISO/IEC 27001, NIS2). The mechanics are the same (identify, assess, treat, monitor), but neither the vocabulary nor the evidence is. A generalist GRC tool rarely models an attack path from end to end.

Who actually needs a structured cyber GRC programme?

Three groups. Organisations inside a regulatory scope: the NIS2 Directive (EU) 2022/2555 covers essential and important entities in the sectors listed in its Annexes I and II, and the DORA regulation applies to the financial sector. Organisations pursuing ISO/IEC 27001 certification. And those whose customers, prime contractors or insurers ask for evidence that cyber risk is under control. The last two carry no regulatory obligation, yet the level of proof expected is much the same.

Is a spreadsheet enough to run cyber GRC?

For a first risk map, yes. After that a spreadsheet runs out of road: no living link between an asset, a risk scenario, a control and its action plan, no history of decisions, versions circulating by email, and a consolidation exercise to redo before every committee and every audit. The real cost is not the licence, it is the hours spent rebuilding a picture of the risk instead of reducing it.

What should a cyber GRC tool contain as a minimum?

An inventory of assets and business activities, a risk register linked to them, a control library mapped to the frameworks in use, action plans with a named owner and a due date, a timestamped log of decisions, and reporting a board can actually read. If any of those lives somewhere else, in a file or a mailbox, the evidence chain snaps at the exact moment an auditor asks you to walk back through it.

Does the AI make the decisions instead of the CISO?

No. In Vailor the AI does the preparation: it suggests risk sources, scenarios, control mappings and wording, based on the context you give it. Validation stays human, and every item you keep records who accepted or corrected it. That is what makes the output defensible in an audit: an unreviewed deliverable proves nothing, however good the model that produced it.

Can one control set cover several frameworks at once?

Yes, provided you organise around controls rather than around frameworks. Annex A of ISO/IEC 27001 in its 2022 edition lists 93 controls. Article 21 of the NIS2 Directive, for its part, sets out minimum risk-management measures: incident handling, business continuity, supply chain security, access control, cryptography, basic cyber hygiene. The overlap is wide. A control implemented once can therefore answer several requirements, as long as the tool carries those mappings. That is the principle of the Vailor Control Framework: one control maintained once, linked to every framework that asks for it.

Where do you start when nothing is formalised yet?

With a narrow, real scope: one critical activity, the assets that support it and the people who run it. Produce a first risk assessment on that scope, turn it into a handful of priority controls with named owners, then widen. An exhaustive map built before any decision is taken ages faster than it can be finished. EBIOS Risk Manager, the method published by ANSSI, is designed for that iterative rhythm.

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