THE AGENTIC JUDGMENT GAP

AI Agents Need More Than Access. They Need Purpose.

Sensitive data everywhere

Agents Overexpose Data

An agent serving one customer goes rogue, exposing thousands of other customers' records and triggering a data breach and privacy violations.

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Agents Misuse Sensitive Data

A finance agent discloses nonpublic earnings in a report before their release, creating compliance risks.

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Agents Take Harmful Actions

A coding agent goes rogue, making unauthorized changes to production systems that disrupt operations and cause business harm.

WHAT WE DO

Understand Purpose. Enforce Boundaries. Prove Control.

Lightbeam understands each agent’s purpose and controls its data access, system privileges, and actions in real time to prevent harmful behavior and enforce business boundaries.

Give AI Agents Autonomy Without Losing Control.

Lightbeam combines AI Data Security, purpose-based access control, and runtime controls to keep AI agents aligned with their intended business purpose.

  • . Understand what agents can access and do.
  • . Enforce least agency with adaptive policies.
  • . Prevent data exposure and harmful actions in real time.
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AI Data Security

Protect sensitive data by controlling what data AI agents and GenAI can access, use, and expose based on business purpose.

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AI Purpose-Based Access Control

Enforce least agency by limiting each agent's access to the data, applications, APIs, and resources needed for its intended business purpose.

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AI Runtime Controls

Secure GenAI interactions and monitor agent behavior in real time. Enforce guardrails to prevent sensitive data exposure and harmful actions outside intended business purpose.

Beyond Traditional AI Security

Lightbeam combines data identity, Agent Purpose and adaptive enforcement to secure GenAI interactions and autonomous agent actions in real time.

The Lightbeam Advantage

  • Data Identity Context

    Know data sensitivity, ownership, identity and business context, including whose data is involved.

  • Purpose-Aware Security

    Check whether agent access, data use and actions match business purpose, not just permissions.

  • Adaptive Enforcement

    Block harmful actions, restrict access and remediate risks in real time before incidents occur.

  • Enterprise AI Governance

    Govern GenAI and autonomous agents across enterprise data, applications, tools and environments.

Traditional AI Security Approaches

  • Limited Data Context

    Sees prompts, tool calls or labels, but may lack data ownership, identity and business context.

  • Permission-Based Controls

    Checks access rights or rules without assessing whether actions fit business purpose.

  • Reactive Security Controls

    Often alerts or blocks interactions, leaving harmful actions and access risks unresolved.

  • Fragmented AI Governance

    Secures individual AI systems without consistent controls across enterprise systems.

THE LIGHTBEAM PLATFORM

The Security Foundation for Trusted AI

Lightbeam unifies data security, access governance, and privacy to protect enterprise data, enable secure AI adoption, and enforce the boundaries autonomous agents need to operate safely.

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AI Security

Safely deploy GenAI and autonomous AI agents with real-time controls over sensitive data, access, and actions.

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AI Governance

Continuously align agent privileges to the data, applications, APIs, and resources required for intended business purpose.

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Data Security Posture Management

Find sensitive data, understand risk, and reduce exposure across cloud, SaaS, and on-prem environments.

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Data Classification

Classify, label, and govern sensitive data for security, privacy, and AI use.

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Privacy Operations

Connect sensitive data to identity, purpose, consent, retention, and regulatory obligations.

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Data Retention

Minimize stale, redundant, and risky data before AI can use or expose it.

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Breach & Ransomware

Understand whose data is exposed and reduce the blast radius of data incidents.

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Insider Risk

Detect risky access, sharing, and data exposure before it becomes a business problem.

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Gartner Peer Insights

“Within a few weeks we were able to provide the personal data discovered within their environment. It was an eye opener and it helped a lot to convince the security board to pursue the usage of the software."

IT Services

Consultant

Regulations we help you meet

Protecting Data and People in the AI Era

Lightbeam helps teams prove how sensitive data is governed, protected, and used across AI, privacy, and compliance workflows.

Customers

Why Leaders Choose Lightbeam

 

  • Education
  • Technology
  • Fintech
  • Banking
  • Healthcare

1700000 +

Entities Protected

180 +TB

Sensitive Data Secured

“What we want to make sure we’re able to do is protect data from AI use that could cause a security risk. If we want to restrict sensitive data, we need the ability to identify it and put policies in place that don’t allow that AI system to access it, while maybe allowing access to other information that can help automate tasks or analyze data.”

Joshua Rhoden Executive Director of IT Operations & Security
Resources

Key Resources & Upcoming Events

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Event

October 28, 2026 - October 28, 2026

GPSEC Miami, Florida

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Blog

EU AI Act Article 4: AI Literacy Through Just-in-Time Education

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Whitepaper

Lightbeam Data Identity Graph

G2 Crowd

Read what others are saying

G2 Crowd

"Lightbeam is an excellent data privacy automation platform I've used for a few months. What I like best is its ability to help me automate privacy compliance and security tasks, and provide a 360-degree view of sensitive data sprawl. The platform's user interface is also easy to use and navigate, even for someone who's not very tech-savvy like myself."

Sudesh R. Competitive Programming Lead
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Ready to reduce AI data risk?

See what sensitive data AI can reach, whose data is exposed, and which actions will reduce risk fastest.