Why cyber AI GRC platform choice is crucial
The cyber AI GRC platform market is exploding with many solutions claiming to integrate artificial intelligence. But not all approaches are equal. Some add AI as an overlay on legacy architectures, while others like Vailor are natively designed for AI. This guide helps you identify essential criteria for making the right choice.
Criterion #1: AI-native vs AI-patched architecture
The most important distinction is between AI-native platforms and those that add AI after the fact. An AI-native architecture like Vailor's optimizes every component for LLMs and agentic AI: vector database, APIs designed for AI workflows, interfaces adapted for human-AI interactions. Modified legacy solutions cannot offer the same performance.
Criterion #2: Data sovereignty
For French and European organizations, data sovereignty is non-negotiable. Your cyber AI GRC platform must guarantee hosting in France or EU, use auditable AI models (open-weight), and natively respect GDPR. Vailor meets these requirements with 100% French infrastructure and configurable models.
Criterion #3: GRC business expertise
Generalist AI isn't enough for GRC. Your platform must integrate deep business expertise: knowledge of methodologies (EBIOS RM, ISO 27001), understanding of regulatory frameworks (NIS2, GDPR), and ability to generate compliant deliverables. Vailor combines cutting-edge AI technology with French GRC expertise.
Conclusion: Questions to ask vendors
Before choosing your cyber AI GRC platform, ask these questions: Is the architecture AI-native? Where is data hosted? What AI models are used? What GRC business expertise is integrated? Vailor's answers will convince you we're the right choice for your cyber AI GRC.