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Data Loss Prevention Monitoring Agent

Information TechnologyData Loss Prevention

Monitors file transfers, email attachments, and cloud storage sharing for sensitive data exposure, flagging policy violations and risky sharing in real time.

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Process steps
6
Integrations
3
Data inputs

Sensitive data such as customer records, financial information, and source code routinely moves through email attachments, file-sharing links, and cloud storage in ways that are difficult to track once traditional network perimeter controls no longer cover cloud-based collaboration tools

Employees frequently share files more broadly than intended, such as setting a cloud document link to 'anyone with the link' when it should be restricted internally, without realizing the exposure created

Security teams reviewing DLP alerts manually are often flooded with false positives from legitimate business file transfers, making it hard to spot the genuinely risky exposure among the noise

This agent continuously monitors file transfers, email attachments, and cloud storage sharing activity for sensitive data patterns, applies context-aware risk scoring to cut false positives, and flags genuine policy violations for immediate action

The agent monitors email attachment content, cloud storage sharing permission changes, and file transfer activity across connected platforms, scanning for sensitive data patterns such as PII, financial account numbers, and classified document markers using pattern matching and content classification. Each detected instance is scored for risk based on data sensitivity, destination (internal vs. external, public vs. restricted), and sender behavior context, filtering out low-risk legitimate business activity from genuine violations. High-risk violations trigger immediate alerts and, where policy allows, automatic quarantine or permission correction, with all findings logged for compliance reporting.

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Monitor Data Movement Channels

  • Scan email attachments for sensitive data patterns before or after send
  • Monitor cloud storage sharing permission changes in real time
  • Track file transfer activity across connected collaboration platforms
  • Cover both internal and external-facing data movement
Outcome: Comprehensive monitoring coverage across the primary channels sensitive data moves through.
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Detect Sensitive Data Exposure

  • Apply pattern matching and classification to detect PII, financial, and classified data
  • Identify cloud sharing settings that expose data beyond intended audience
  • Flag large-volume or unusual data transfer patterns
  • Cross-reference detected data against classification and handling policy
Outcome: Sensitive data exposure across channels is consistently and accurately detected.
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Score Risk and Filter Noise

  • Score each detection by data sensitivity and destination risk
  • Factor in sender behavior context to distinguish routine from anomalous activity
  • Filter out low-risk legitimate business transfers from genuine violations
  • Rank findings by severity for review prioritization
Outcome: Security teams review a manageable, high-signal set of genuine policy violations.
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Act and Document

  • Trigger immediate alerts for high-risk violations
  • Auto-quarantine or correct permissions where policy allows
  • Log every detection and action for compliance reporting
  • Track violation trends by department and data type over time
Outcome: Genuine violations are contained quickly with a complete, auditable compliance record.
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