Frequently Asked Questions about AI GRC

AI GRC (Governance, Risk, Compliance through Artificial Intelligence) refers to the use of AI to speed up governance, risk management and regulatory compliance processes. At Vailor, the AI reads your project documents and prefills risk assessments from cited excerpts. The AI proposes, your experts decide, and every decision is traced.

Because regulations pile up faster than teams grow. The AI takes on what consumes time without requiring expertise: gathering information, prefilling, formatting deliverables. Your experts focus on judgement calls. On the compliance side, a control maintained once counts for every framework that requires it.

AI GRC is the general term for applying AI to governance, risk, and compliance. Cyber AI GRC focuses specifically on cybersecurity: cyber risk assessments, compliance with security standards (ISO 27001, NIS2), and information systems protection. Vailor is a cyber AI GRC platform: risk assessment (EBIOS RM, flash assessment), compliance (NIS2, DORA, NIST CSF 2.0) and a third-party register.

It depends on where you start, and we would rather measure it with you than publish an average. The levers are known: the AI prefills assessments from your documents, measures come with prefilled effort and cost, and a control assessed once counts for all your frameworks. A pilot on your own scope gives you figures that belong to you.

Vailor covers EBIOS RM end to end, across the five workshops of the method published by ANSSI. The AI prefills each workshop from your documents, your experts validate, only the named business owner accepts residual risks, one by one, and deliverables export to PDF, Word and PowerPoint, in French or English. For less critical projects, a lighter flash assessment is available.

As SaaS, data is stored in France (AWS Paris region) and AI processing runs on AWS Bedrock in EU regions. Vailor also installs on your premises (Docker), with the AI model of your choice. Your data is never used to train models, and you choose the model, including a self-hosted one.

An AI-native architecture means the software was designed from the start with artificial intelligence at the core of how it works, rather than added on top of an existing tool. At Vailor, the AI works at the heart of the risk assessment workflow: it reads your documents and prefills from cited excerpts, and nothing is validated without a human.

Pricing depends on your context: the modules you choose, the scope covered and the deployment mode. Book 30 minutes: we listen to your needs and make you a tailored proposal. If it makes sense, we scope a pilot together.

Vailor connects to your identity provider through SSO (OIDC), and its logs can be consumed by your SOC. If you have an in-house risk assessment method, it is integrated through custom development. For existing material (Excel registers, other tools), we look with you at the start at what needs to carry over, and how.

Yes. Our team supports you at the start: scoping, configuration, getting your teams up to speed. Our integration partners, such as CYNERS, can then support your teams over the long run.