NVISIONx fuses business context with cyber intelligence to protect critical data, defensibly purge expired data, and prosper with powerful insights.
Bring dark data to light, wherever it may be hiding, governed and AI ready.
Classify in familiar business context with privacy sensitivities to realize actionable data risk intelligence.
Risk-aware AI governance starts with where data lives, not just the LLM.
Trusted by Leading Financial Services, Healthcare and Technology Leaders
Patented Contextual Classification for Confident Data Decisions.
Zero Competitors Who Can Replace It.
Protect. Purge. Prosper.
“You turned on Copilot. Do you know what it can reach?”
RexAI maps your AI exposure surfaces by business record type, enforcing data boundaries before the first query, not after the first incident. Deploy with a governance foundation your board can defend.
Govern Before You Deploy
“Your DLP has labels. Your CASB has labels. Neither can tell you what the data is.”
Classify every file as a familiar business record by fusing record type, sensitivity, retention status, and access identities into risk intelligence every stakeholder can act on, not just monitor.
From Labels to Intelligence
“Your data protection controls didn’t fail. The classifications feeding them did.”
Correlate cyber intelligence with business context so DLP and CASB operate with precision, cut noise, prioritize real risk, and contain sensitive records with confidence.
Control and Contain Data with Precision
“Threats don’t wait for your quarterly review. Neither does RexAI.”
Classification results, live access data, vulnerability signals, and threat intelligence are correlated continuously and automatically. Your team remediates what’s real, not what’s loudest.
Always-On Risk IntelligenceContinuous and Actionable Data Risk Intelligence Across the Entire Lifecycle
“I need a complete view of our data assets to drive decisions, eliminate inefficiencies, and unlock enterprise value.”
“A trusted, enterprise-wide data foundation is required to support governance, analytics, and AI initiatives.”
“Without full visibility, we cannot identify exposure or ensure regulatory coverage across the data estate.”
“Data must be understood in business context to be actionable and aligned to how we actually operate.”
“Classification defines what is a record, how it is governed, and what retention policies must be enforced.”
“Standardized classification ensures consistency, trust, and usability across all enterprise data.”
“I need confidence that access to data supports operations without introducing unnecessary risk.”
“Over-permissioned access is the primary source of insider risk — we must continuously validate entitlements.”
“Access must align with policy and regulatory expectations, enforcing least-privilege across the enterprise.”
“Protection must be enforced at the data level to reduce breach exposure and prevent unauthorized access.”
“Controls must be aligned to regulatory mandates and continuously monitored for effectiveness.”
“Protection only works when data is properly classified and governed at the source.”
“Rapid visibility and response are critical to containing incidents and minimizing impact.”
“DSARs and regulatory requests require precise, timely responses across the entire data estate.”
“Responses must be defensible, auditable, and structured to minimize regulatory and litigation risk.”
“Retention policies must be consistently enforced across all record types and jurisdictions.”
“Retention decisions must be defensible to withstand audits, investigations, and litigation.”
“We must ensure adherence to retention policies and mitigate risk from over- or under-retention.”
“Defensible disposition ensures redundant, obsolete, and trivial data is systematically eliminated.”
“Deletion must align with regulatory obligations while reducing long-term liability.”
“Reducing excess data lowers cost, minimizes risk, and creates a more efficient, AI-ready data environment.”
Democratizing Data Governance at Enterprise Scale
From source ingest through enterprise LLMs, in seven steps.
RexAI ingests from 400+ pre-built connectors. One inventory, complete visibility, no blind spots.
Microsoft 365
SharePoint
OneDrive
Exchange
Azure Blob
Google Cloud Storage
Salesforce
Slack
Dropbox
Microsoft Teams
Jira
PostgreSQL
1. INVENTORY
2. CLASSIFY
3. VALIDATE
4. PROTECT
5. RESPOND
6. RETAIN
7. PURGE
Copilot
OpenAI
LAZARVS
Claude
Gemini
Scale AI pilots with 1,000s of related business records
Cross-business records share contextual themes
Eliminate duplicates for clean insights
Identifies sensitive attributes and business topics
Feed LLMs from a single source of truth that is governed and AI-ready
Legacy DSPM
Simple, confusing, and lack actionable context, making it difficult to realize reliable data protection rules or prepare for AI adoption.
Incomplete data inventories.
Scans are slow and incomplete.
Interface is too complicated for business users.
Needs additional staff and consulting services for more costs.
Tool is too expensive and cannot justify its value.
NVISIONx
Enriches with business context and data sensitivity to enable reliable data protection and responsibly fuel strategic AI initiatives.
Covers all applications (on prem, cloud, endpoints…) and structured and unstructured data sets.
Scans 3–5x faster.
Easy and intuitive interface designed for business users.
Strategic expertise. No extra staff. No extra cost.
Realize value in days and save more than the tool costs.
One Platform. Every Stakeholder. Zero Blind Spots.
“AI trust starts at the data source, not the model”
AI pilots fail on ungoverned data. Copilot exposes confidential records. GenAI hallucinates on dark data nobody knew existed. The result: stalled rollouts, lost trust, and compliance exposure. NVISIONx eliminates the chaos before your first AI query.
“AI Shared context. One view. Every leader aligned.”
CISOs see exposure. Legal sees retention risk. Business sees ownership gaps. Different dashboards, different conclusions. NVISIONx delivers one contextual risk picture that turns finger-pointing into coordinated action.
“Stop paying to store and protect data you should have deleted years ago.”
Most enterprises carry 40 to 60% expired or redundant data. NVISIONx identifies what's defensibly purgeable using business context, then automates disposal that cuts storage costs, shrinks your attack surface, and closes the over-retention gaps regulators now prosecute.
Our data classification, retention, and privacy policies operated in silos and rarely aligned in practice. RexAI transformed billions of files into business records with clear ownership, purpose, and retention logic, making governance operational for the first time. We've moved from fragmented policies to a system we can actually enforce at scale.
We had limited visibility into sensitive data spread across our environment and no reliable way to assess exposure. Nx gave us a unified view of data risk, access, and ownership across the enterprise. For the first time, we can quantify risk, reduce unnecessary exposure, and proactively manage our data instead of reacting to it.
Our data estate had outgrown our ability to control it. Nx provided a structured, business-aligned view of our data across systems, transforming unmanaged files into governed assets with clear ownership and purpose. RexAI gave us the trusted data foundation we needed to move forward with AI initiatives confidently, knowing our data is accurate, governed, and fit for use.
Before Nx, Business, IT, and Cyber operated on conflicting data views, creating constant friction and inefficiency. Nx established a single source of truth for data governance and risk, aligning teams around the same intelligence. That shift has fundamentally changed how we operate at the executive level.
0s
Supported Applications
>0
Supported File Formats
Of Data Governed
35–0%
Average of Expired or Useless Data
Saved by Data Minimization
100%
Business Disruption
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