Find & Protect

Detect and Protect Sensitive Data Before
It Moves Through AI

Protegrity Find & Protect helps teams identify sensitive data in prompts, uploaded files, RAG workflows, and AI outputs, then apply protection such as redaction, masking, or tokenization. Build AI applications with data protection embedded from ingest to output.

WHAT YOU NEED TO KNOW ABOUT Find & Protect

What It Is

Find & Protect solves the AI data protection challenge by unifying context-aware detection with Protegrity’s embedded data protection. One API call does it all: discover sensitive data and apply the right protection—redaction, masking, tokenization, or more—instantly.

When to Use It

Use Find & Protect whenever sensitive data may flow into, across, or out of your AI systems—from chatbots, LLM outputs, and multi-agent ecosystems to model training pipelines, retrieval-augmented generation (RAG), and uploaded documents.

Why It Matters

Find & Protect gives you confidence to build and scale AI by ensuring sensitive data is automatically secured at every stage, from ingest to output. With embedded protection that travels wherever the data goes, you can simplify compliance and accelerate innovation.

The Protegrity Advantage

Why Our Find & Protect IS Different

01
Eliminates Integration Complexity
Combine sensitive data discovery and protection in a single workflow. Find & Protect helps teams avoid brittle handoffs between separate detection, classification, and protection tools by applying protection directly where sensitive data is found.
02
Context-Aware Detection
Detect sensitive data in unstructured and semi-structured content using context-aware analysis. Find & Protect helps identify PII, PHI, PCI, intellectual property, and other regulated data in prompts, documents, files, retrieved content, and AI outputs.
03
Embedded Data Protection
Apply protection where sensitive data appears, using methods such as redaction, masking, tokenization, or policy-driven controls. Protection stays closer to the data as it moves through AI applications, pipelines, and downstream workflows.
04
Centralized Policy Control
Define and manage protection policies centrally, then apply them consistently across dynamic AI environments. Find & Protect helps teams control how sensitive data is detected, protected, and used across workflows without rebuilding policy logic for every pipeline.
05
AI-Ready Performance
Support real-time AI pipelines and large-scale unstructured data processing without making protection a separate manual step. Find & Protect is designed for fast-moving AI workflows where sensitive data may appear unpredictably at ingest, retrieval, output, or agent-to-agent exchange.
06
Any Cloud, Any Pipeline
Embed sensitive data detection and protection across cloud, hybrid, and AI pipeline environments. Find & Protect helps teams protect data across AI applications and workflows without forcing every use case into a single platform or deployment model.

    How Find & Protects Works

    Ingest
    Data flows into your AI systems from chatbots, document uploads, APIs, or training pipelines.
    Detect
    ML, NLP, and pattern-matching models (including Presidio) scan unstructured and structured data in real time to identify sensitive information across all classes of PII.
    Embedded Safeguards
    Embedded safeguards—masking, redaction, tokenization—are automatically applied.
    Enforce
    Protection persists throughout the lifecycle, across every platform, workflow, and output.

      When Should You Use Find & Protect?

      01
      AI Application Ingest
      Detect and protect sensitive data as users, systems, or applications submit prompts, forms, documents, messages, or other inputs into AI workflows. Find & Protect helps reduce exposure before sensitive data reaches downstream models, tools, or agents.
      02
      RAG and Knowledge Retrieval
      Protect sensitive data that may appear in retrieved documents, knowledge bases, embeddings, or generated responses. Find & Protect helps teams reduce risk when AI systems search enterprise content and return answers based on internal data.
      03
      Model Training and Agentic AI Workflows
      Use Find & Protect in training pipelines, evaluation workflows, and multi-agent systems where sensitive data may move across prompts, outputs, files, tools, or agent-to-agent exchanges. Embedded protection helps teams build safer AI workflows without relying only on manual review.
      04
      LLM Outputs and Chatbot Responses
      Scan and protect AI-generated outputs before they are shown to users, stored, shared, or passed into another workflow. This helps limit the chance that sensitive data, regulated information, or confidential business details appear in responses where they should not.
      05
      Document Uploads
      Protect PII and other sensitive data in uploaded files before they enter AI systems. Find & Protect helps detect and protect sensitive information in documents, forms, attachments, and other file-based inputs used by AI applications, RAG workflows, or enterprise assistants.

        Why Use
        Find & Protect?

        Find & Protect reduces the complexity of identifying and securing unstructured and semi-structured data by combining intelligent detection with instant protection in a single, powerful solution. 

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        Context-Aware Sensitive Data Detection

        Identify sensitive data in unstructured and semi-structured inputs, including PII, PHI, PCI, intellectual property, customer records, and other regulated information. Find & Protect uses context-aware detection to help recognize sensitive data that may appear in prompts, documents, AI outputs, or pipeline inputs.

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        Protection at Ingest and Output

        Apply protection when sensitive data enters an AI workflow and when results are generated. Find & Protect helps secure data at key control points so sensitive information can be redacted, masked, tokenized, or otherwise protected before it creates exposure risk.

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        Simpler AI Data Protection Operations

        Reduce the need to stitch together separate discovery tools, protection methods, and custom integrations. Find & Protect gives developers a more direct way to detect sensitive data and apply the right protection through a single capability built for AI pipelines.

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        Safer AI Pipeline Readiness

        Support AI applications, RAG workflows, model training, chatbots, and multi-agent systems where sensitive data may appear unpredictably. Find & Protect helps teams build AI workflows with data protection embedded from the start, instead of relying only on downstream review.

        Complete Your AI Security Strategy

        BEYOND FIND & PROTECT: COMPREHENSIVE AI PROTECTION

        Find & Protect secures data flowing through your AI systems, but comprehensive AI security requires more. Explore Protegrity’s complete AI protection suite to address every stage of your AI lifecycle:

        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.
        Learn more

        Synthetic Data Generation

        Generate statistically accurate, bias-aware datasets that preserve utility without exposing sensitive information.
        Learn More

        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

        Find & Protect 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.

        Learn More