Data Classification & Role Based Access Control

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 Modern AI systems amplify whatever data they ingest — including sensitive files, credentials, outdated permissions, or legacy exposure your team didn’t know existed.

A Data Risk Assessment gives you full visibility into how data is stored, shared, accessed, and protected across your environment, so you can prevent AI tools from learning the wrong things and leaking the wrong things.

We surface where sensitive data lives, who can touch it, how far it spreads, and which AI-driven workflows are at risk — giving you a clear, prioritized roadmap to secure your most valuable asset: your data.

 AI adoption fundamentally changes how organizations must think about data security.

Before rolling out copilots, chatbots, or internal LLMs, we help you answer the most critical question:

“What data will this AI have access to — and should it?”

Using  industry-leading data security platform, we map and analyze your unstructured data across file servers, cloud collaboration platforms, and SaaS applications. Our team then interprets the results, validates real-world access patterns, and translates everything into actionable, business-ready guidance.

 Our Data Risk Assessment provides a complete picture of your data exposure and AI-readiness. Every finding is mapped to business impact, prioritized, and translated into steps your team can take immediately.

You receive:

• Executive Summary — plain-English findings and key risks tied to AI adoption 
• Sensitive Data Heatmap — where sensitive files live and how widely they’re exposed 
• Excess Access Analysis — users, groups, and roles with permissions that exceed need 
• AI Ingestion Risk Profile — what an AI model would learn today if enabled 
• Remediation Playbook — clear, prioritized steps to reduce exposure 
• RBAC & Governance Recommendations — least-privilege guidance tailored to our environment
• Validation Checklist — repeatable steps to confirm improvements remain effective