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Beyond Traditional AI Security

Lightbeam applies data-aware AI guardrails to detect shadow AI use, protect approved AI tools, and enforce governance policies across sensitive data.

The Lightbeam Advantage

  • Block Unauthorized AI Use

    Monitor and block sensitive data going to shadow AI tools and unauthorized GenAI platforms.

  • Protect Approved AI Tools

    Secure sensitive data used by copilots, RAG workflows, GenAI platforms, and AI agents.

  • Classify and Label Data for AI

    Identify sensitive, non-sensitive, real, and synthetic data to control AI ingestion and use.

  • Enforce AI Governance Policies

    Apply policies by user, agent, data type, sensitivity, entity profile, destination, threshold, and risk.

Traditional Industry Approach

  • Tool-Centric Visibility

    Many tools monitor prompts or applications without understanding sensitive data involved.

  • Limited Shadow AI Control

    Unauthorized AI use discovered after sensitive data already left company control.

  • Weak Data Context

    Policies often lack identity, sensitivity, business purpose, entity context.

  • Manual Investigation

    Teams manually determine what was shared, who prompted it, and what risk it created.

Key Capabilities That Set Lightbeam AI Data Security Apart

Block Sensitive Data to GenAI Platforms

Lightbeam helps prevent sensitive customer, employee, partner, patient, client, and IP data from being shared with unauthorized GenAI tools. Teams can apply policies that alert or block based on data type, sensitivity, destination, user, agent, and risk.

How does DSPM detect shadow data?

Monitor Prompts, Responses, and Attached Files

Lightbeam provides visibility into sensitive data in prompts, responses, screenshots, and files attached to AI conversations across GenAI platforms such as ChatGPT, Claude, Gemini, Copilot, Cursor, Perplexity, and other AI tools.

Flexible Deployment to Keep Sensitive Data in Your Environment

Classify and Label Data for AI Use

Lightbeam discovers, classifies, and labels sensitive data so organizations can decide what should be included, restricted, or excluded from AI workflows. It can distinguish sensitive vs non-sensitive data, real vs synthetic data, and entity types such as customer, employee, partner, patient, or client data.

Contextual AI Labeling

Enforce AI Governance Policies

Lightbeam helps enforce AI-specific policies by who is sharing the information, what data is involved, where it is going, and what action should be taken. Teams can set policies by user, agent, attribute, classification, sensitivity, entity profile, AI app destination, and tolerance threshold.

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KEY BENEFITS

Business Outcomes That Help Enterprises Adopt AI Safely

Reduce AI Data Exposure

Control Shadow AI Risk

Protect Approved AI Projects

Create AI Policy Audit Evidence

Prepare Data for AI Ingestion

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Data Access Governance

See and control who can access sensitive data, enforcing least privilege automatically.

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Ransomware Protection

Detect and contain ransomware threats early to protect critical data and operations.

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User & Entity Behavior Analytics

Spot insider threats and suspicious activity by learning normal user and entity behavior.

What customers say about DSPM with Lightbeam

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“Lightbeam gives us the ability to scan, classify, categorize, and label data so we can ensure that data does not go into areas it does not need to, including AI models.”

Patrick McKinney VP of Security, Invisible Technologies

FAQs

Frequently Asked Questions

How is AI Data Security different from traditional AI security tools?
Can Lightbeam help block unauthorized AI use?
How does Lightbeam protect approved AI tools and agents?
RESOURCES

Browse Key Resources

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Lightbeam Blog

Blog

April 09, 2025

What is Data Security Posture Management (DSPM), and what can it do for you?

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Case Study

Veridian Credit Union Selects Lightbeam over Varonis to Protect Member Data and Streamline PCI Compliance

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Blog

Summer Release 2025: Stop Ransomware Faster, Spot Insider Risk Sooner, and Prove Access is Correct

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Ready to see risk clearly?

Map data to identities, quantify risk, and automate fixes across your estate.

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