GRC Platform100% AI Native
Vailor is the AI-native GRC software for cybersecurity: risk assessment, compliance and third-party risk management, accelerated by native (not patched) AI. Automate your processes and transform your governance.
A unified platform for all your GRC
No more scattered tools and manual exports. Vailor centralizes everything in a single source of truth.
Centralization
Everything in one place. No more juggling disconnected tools: risk, audit, compliance and third parties live in a single, natively interconnected platform.
Collaboration
Validation workflows and fine-grained RBAC, per module and system-wide. Business teams, security, CISO and auditors all work in one place, each with the right permissions.
Automation
AI takes the repetitive work off your team's plate and leaves only what matters: decision and vision. AI accelerates, humans decide.
Modules for every need
Organization
The foundation of your GRC
The very first module: model your organizations, perimeters and assets in multi-tenant, and define the configuration specific to each perimeter (frameworks, third parties, settings) that every other module builds on.
- Organizations, perimeters and assets in multi-tenant
- Configuration specific to each perimeter
- Shared foundation for every module (risk, compliance, third parties)
- Per-entity data isolation and governance
Pre-assessment
Empower your business teams
Business teams can start their projects without waiting. An AI-guided questionnaire collects the essential information before the security team defines the required level of support.
- AI-guided intelligent questionnaire
- Automatic preliminary assessment
- Integrated validation workflow
- Reduced back-and-forth
Risk Assessment
Risk assessment accelerated by 70%
Perform your risk assessments in a fraction of the usual time. AI assists you at every step while ensuring methodological rigor.
- Every risk assessment step assisted
- Contextual scenario suggestions
- Automatic deliverable generation
- Multi-methodology support
Compliance
Your regulatory compliance, AI-driven
Stay ahead of Europe's regulatory acceleration. Vailor puts AI to work tracking and aligning your organization with European regulatory frameworks.
- Automatic mapping to regulatory requirements
- Continuous gap identification and tracking
- AI-assisted remediation plans
- Evidence and deliverables generated automatically
Third-Party Management
Q2 2026Coming soon
Steer the risk posture of your vendors and partners. Vailor centralizes third-party tracking, automates security questionnaire distribution and analysis, and structures outsourcing governance.
- Central registry of vendors with criticality rating
- AI-dispatched and AI-analyzed security questionnaires
- Lifecycle tracking and contractual obligations
- Alerts on vendor posture changes
The future of GRC is written with AI
GRC is a deeply textual, documented and standards-driven world: ideal ground for LLMs, with a still-largely-untapped potential.
We used to digitize
Legacy solutions moved GRC from Excel to more modern interfaces or spreadsheet wrappers. A good step, but designed before ChatGPT, when AI's potential was still unproven.
We solve
It's 2026, post-ChatGPT: merely digitizing GRC is outdated. You can now solve it with AI. Turning to a solution that only digitizes would be a mistake.
We don't digitize anymore. We solve.
AI-Native, not AI-patched
"AI-native" is an overused buzzword. Here is what actually separates patched AI from native AI.
Patched AI
- Depends on the user: whoever prompts better gets a better answer
- Black box: answers that are neither deterministic, sourced, nor traceable
- Generic RAG that rakes over your documents without targeting the right context
- Constant chatbot ↔ platform friction, and confident hallucinations
Native AI
- Everything is traceable and explainable: the reasoning and the sources
- User-agnostic: the same deterministic result for everyone, no prompting
- A surgical RAG that brings the right context at the right time, to the right place, with anti-hallucination guardrails
- 100+ specialized agents in a swarm, model-agnostic and therefore cheaper
Next-gen parser
Faithful reading of schemas, diagrams and complex documents: your sources are understood, not just indexed.
Proprietary RAG
A surgical RAG that brings the right context at the right time, to the right place: no more catch-all generic RAG.
Configurable models
Model-agnostic: no need for the latest Anthropic or OpenAI model to perform. More flexibility, and cheaper.
High precision
Anti-hallucination mechanisms everywhere and deterministic results: AI that accelerates toward the truth, not into the wall.
How to spot patched AI?
A few questions to ask GRC AI alternatives on the market to tell whether they are genuinely AI-native or merely patched.
Do you interact with the AI through a chat?
If yes, the result depends on the user and the quality of their prompt: neither reproducible nor traceable. That's patched AI.
Do two users get exactly the same result?
If not, the answer depends on the prompt: without determinism, there is no auditability. That's patched AI.
Are the answers deterministic?
If not, you can neither audit nor replay them identically. That's patched AI.
Is there a way to check whether the model hallucinated?
If not, it's a black box that cannot be cross-checked. That's patched AI.
Do you go back and forth between a chat and the fields to fill in?
If yes, the AI does not interact with the platform natively the way a human would: it's an overlay, context isn't injected where it's needed and friction is constant. That's patched AI.
Does the AI produce free text, or structured, deterministic outputs?
If it's free text, the AI is not manipulating structured elements directly usable inside the platform. That's patched AI.
Should you build your GRC yourself?
You're bound to weigh make vs buy. Prototyping the start of a GRC module without AI can be vibe-coded quickly. A genuinely AI-native GRC platform cannot.
One scoped module, yes; native AI, no
A very scoped GRC module, without AI, can indeed be vibe-coded in a weekend. But the moment you graft AI onto it, the effort grows sharply, and native AI does not get vibe-coded. And that is a single module: for N interconnected modules within a unified platform, complexity grows exponentially.
Applied AI can't be improvised
Years of applied AI, RAG architectures, prompt evaluation and non-regression, anti-hallucination guardrails, complex document parsers: this is proven and engineered. A wrong answer asserted with confidence, with no way to detect it, is the worst possible application of AI: worse than no AI at all.
An in-house tool is shadow IT
It would host your risk registry and your vulnerabilities. Would you sign it off in an audit, with no secure SDLC, no pentest, no risk assessment, no DR, no SLA, no BCP? The tool that governs your compliance cannot itself be ungovernable. And making it genuinely governable costs, in internal build and run, more than a license.
A product, not a project: the regulatory clock is ticking
Frameworks and regulations evolve continuously: every hour spent maintaining an in-house tool is an hour less on real security. Buying means value next week; building means, at best, something usable in a year.
Built for the enterprise
Built for mid-market companies, MSPs and large accounts: a modern, sovereign and truly future-proof architecture.
Sovereign multi-tenant
Manage multiple entities, subsidiaries or clients with complete data isolation. Sovereign multi-tenant, without making it mandatory.
Fine-grained RBAC
Precisely control who can view, edit or validate each element, per module and system-wide.
Sovereignty & deployment
SaaS, on-premise or 100% air-gapped. Fully sovereign and self-hosted in France: your data stays under your control.
Future-proof by design
Born after ChatGPT, Vailor is AI-native end to end. Patched-AI platforms can't pivot without rebuilding from scratch.
Deploy anywhere, with the model of your choice
Vailor adapts to your infrastructure and sovereignty constraints, while staying agnostic to the AI model.
Deployable on any host
SaaS, on-premise or 100% air-gapped. For full sovereignty, hosting with European providers such as Scaleway or OVHcloud, in France. And when sovereignty isn't required, we adapt to the hyperscalers.
Compatible with every model
Model-agnostic: self-hosted, open-weight or proprietary models. Mistral, Qwen, OpenAI, Anthropic, Gemini and many more.
Third-party trademarks shown for compatibility purposes only.
Vailor's founders
Combined expertise in cybersecurity and artificial intelligence to revolutionize GRC.
Vailor at the heart of the cyber & AI ecosystem
We meet the cybersecurity and AI community at the industry's biggest events.
Vailor is featured in the 2026 Cybersecurity Startup Radar published by Wavestone & Bpifrance.
See the announcement on LinkedInReady to transformyour GRC?
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