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Text to Analytics

Secure Natural-Language Analytics
for Structured Data

Protegrity Text to Analytics lets approved users ask questions of structured data in plain language and receive governed answers based on their access privileges. Teams can reduce dependency on manual SQL requests, speed up analysis, and keep sensitive data protected by policy across analytics workflows.
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WHAT YOU NEED TO KNOW ABOUT Text to Analytics

What It Is

Text to Analytics combines natural-language querying with Protegrity’s embedded data protection, translating plain-language questions into high-performance analytics queries, returning results instantly while respecting each user’s access privileges.

When to Use It

Text to Analytics provides fast, secure access to insights buried in relational databases. Fraud and risk teams can surface anomalies in real time, supply chain managers can assess vendor performance on demand, and marketing or sales teams can quickly uncover customer trends — all without writing a line of SQL.

Why It Matters

Text to Analytics democratizes access, empowering business teams to get the insights they need directly, without compromising sensitive data protection or compliance. The result: faster, smarter decisions across the business, with security built in.

The Protegrity Advantage

Why our Text To Analytics Is Different

Unlike generic LLMs or legacy text-to-SQL tools, Text to Analytics is built for enterprise-grade AI security:
01
Platform-Agnostic
Works across Snowflake, Databricks, and beyond—not tied to a single vendor.
02
Knowledge Graph
+ DSL
The knowledge graph stores metadata and relationships—never raw sensitive data—so teams get context for accurate queries without exposing anything sensitive.
03
Federated Protection
Even when customer IDs or account numbers are tokenized, queries run seamlessly — and only authorized users see the original values.
04
Rapid Deployment
Existing Protegrity customers can activate Text to Analytics in hours, not months.

    How Text To
    Analytics WORKS

    Ask a Plain-Language Question
    A business user or analyst asks a question in natural language, such as a fraud, risk, supply chain, marketing, sales, or operations query. The user does not need to write SQL or wait for every request to move through an engineering queue.
    Translate the Question into a Query
    Text to Analytics interprets the request and converts it into a structured analytics query against approved relational data sources. This helps teams move from business question to data response faster while keeping the workflow tied to governed data access.
    Apply Protegrity Data Protection
    Before results are returned, Protegrity applies embedded data protection based on policy, role, and access privileges. Sensitive data can remain protected, masked, tokenized, or restricted depending on what the user is authorized to see.
    Rehydrate for Authorized Users
    Original values are restored only for users with the right privileges.
    Return Governed Answers
    Users receive answers that align with their approved level of access. This supports faster analysis while reducing unnecessary exposure of PII, PHI, PCI, customer data, and other sensitive information.

      When Should You Use Text to Analytics?

      Use Text to Analytics when teams need faster answers from structured data but cannot bypass security, governance, or access controls. It is especially useful when business users need to ask direct questions of approved datasets without writing SQL or waiting for manual analytics support.
      01
      Fraud Detection & Risk Modeling
      Help fraud, risk, and compliance teams ask timely questions about transactions, anomalies, account activity, or operational patterns. Text to Analytics can speed investigation workflows while keeping access to sensitive data governed by role, policy, and approved privileges.
      02
      Supply Chain & Vendor Management
      Give supply chain, procurement, and operations teams a faster way to analyze vendor performance, inventory movement, delivery timing, and operational bottlenecks. Teams can explore structured data in natural language without creating new reporting queues for every question.
      03
      Sales & Marketing Analytics
      Support marketing, sales, and customer teams with governed access to customer trends, campaign performance, product behavior, and revenue patterns. Text to Analytics helps teams ask business questions directly while Protegrity controls how sensitive customer data appears in the results.
      04
      Operational Planning
      Help business leaders and analysts get faster answers from approved enterprise datasets for planning, forecasting, performance tracking, and decision support. Natural-language analytics can reduce dependency on ad hoc SQL requests while keeping reporting aligned to data protection policy.

        Why Use Text to Analytics?

        Text to Analytics helps teams ask questions of structured data in natural language while keeping sensitive data protected by policy. Business users, analysts, fraud teams, risk teams, supply chain teams, and revenue teams can get governed answers faster without waiting for every question to become a manual SQL request.

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        Faster Access to Insights

        Reduce dependency on long SQL request cycles by letting approved users ask plain-language questions of structured data. Teams can move from question to answer faster while keeping analytics workflows aligned to access policy.

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        Analytics Without SQL Barriers

        Give business teams a simpler way to explore relational databases, dashboards, and operational datasets without writing code. Text to Analytics helps analysts and decision-makers investigate trends, compare results, and surface patterns through natural-language querying.

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        Embedded Data Protection

        Apply Protegrity data protection directly inside the analytics workflow. Sensitive data remains governed by access privileges, so users only see the data they are authorized to use based on policy, role, and business need.

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        Enterprise-Ready Analytics Access

        Bring natural-language analytics into enterprise environments where security, governance, and access control matter. Text to Analytics supports broader data use without separating analytics speed from data protection.

        Complete Your AI Security Strategy

        BEYOND TEXT
        TO ANALYTICS: COMPREHENSIVE AI PROTECTION

        Text to Analytics is just one part of Protegrity’s AI security platform. Extend protection across your AI ecosystem with Protegrity’s full range of advanced capabilities.

        Text To Analytics

        Ask questions of structured data in natural language, with embedded protection ensuring results stay secure.
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        Semantic Guardrails

        Enforce dynamic, context-aware controls that block unsafe queries and prevent data leakage in real time.
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        Synthetic Data Generation

        Generate statistically accurate, bias-aware datasets that preserve utility without exposing sensitive information.
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        Find & Protect

        Automatically detect and protect sensitive data across ingest, training, and outputs.
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        The Protegrity Data Protection Platform

        Explore Data-Centric Data Protection

        Text to Analytics is part of the Protegrity Platform — delivering centralized policy control, modular capabilities, and data-centric protection across every stage of the AI pipeline.

        Discovery

        Identify sensitive data (PII, PHI, PCI, IP) across structured and unstructured sources using ML and rule-based classification.

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        Governance

        Define and manage access and protection policies based on role, region, or data type—centrally enforced and audited across systems.

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        Protection

        Apply field-level protection methods—like tokenization, encryption, or masking—through enforcement points such as native integrations, proxies, or SDKs.

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        Privacy

        Support analytics and AI by removing or transforming identifiers using anonymization, pseudonymization, or synthetic data generation—balancing privacy with utility.

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        See Protegrity
        In Action

        Accelerate data access and turn data security into a competitive advantage with Protegrity’s uniquely data-centric approach to data protection.
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