NVISIONx provides a Data Risk Intelligence Platform that combines business context with cyber intelligence to protect critical data, securely purge expired information, and generate actionable insights. The platform automatically discovers and classifies dark data, applying privacy‑aware governance so organizations can deploy AI models with confidence and meet regulatory requirements. It is used by financial services, healthcare, and technology firms to ensure risk‑aware AI deployment.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to maintain visibility over all structured and unstructured data across on‑premises, cloud, and hybrid environments, leading to hidden “dark data,” unmanaged retention, and exposure to privacy and compliance risks.
Solution
NVISIONx delivers a Data Risk Intelligence Platform that continuously inventories every data asset, applies AI‑driven classification with confidence scores, and enriches each file with business context, sensitivity, retention status, and access ownership. The platform surfaces risk intelligence, enabling organizations to defensibly purge obsolete or toxic data, enforce policy‑driven protection, and align security, compliance, and business teams around a single source of truth. By mapping exposure surfaces before AI queries are run, it supports risk‑aware AI deployment and helps meet regulatory requirements. All insights are delivered through an integrated dashboard and can be exported to existing security and governance tools.
Target Audience
Primary customers are large enterprises in financial services, healthcare, and technology that need unified data governance, compliance, and risk management across extensive data estates.
Features
- Automated discovery of data across on‑prem, cloud, and hybrid stores, creating a living data catalog
- AI‑powered classification that identifies sensitive types, business record context, and regulatory relevance with confidence scoring
- Contextual risk intelligence that combines classification, retention status, and access identities for actionable insights
- Policy enforcement integration with existing security stacks to protect high‑risk assets while reducing false positives
- Defensible data purging of redundant, obsolete, or trivial files to lower storage costs and attack surface
- Continuous monitoring and early risk alerts to stay ahead of threats and compliance deadlines
- Support for risk‑aware AI governance by mapping data exposure surfaces before model queries are executed