LightBeam’s platform redefines data security, privacy, and governance by integrating seamlessly with Microsoft services—ensuring your digital ecosystem is secure and optimized.

• OneDrive and SharePoint:
  Intelligently discover and classify unstructured data while automatically remediating excessive sharing permissions to secure your critical files and streamline collaboration.

• Azure Blob:
  Identify and sanitize sensitive information in your data lakes, supporting AI initiatives while ensuring privacy compliance.

• Microsoft Outlook:
  Scan emails, attachments, and inboxes meticulously, integrating with Data Loss Prevention systems to block unauthorized external sharing.

• Microsoft Dynamics 365:
  Leverage your CRM as a trusted source by scanning customer and patient data for sensitive content, reinforcing compliance and unifying your enterprise data.

• Microsoft Teams:
  Analyse team chats in real time to detect sensitive information, using automated redaction and deletion to maintain compliance and mitigate risks.

• Microsoft SQL:
  Discover and classify sensitive data within structured databases, enabling its use as a trusted source of truth for customer and vendor data and driving unmatched classification accuracy.

• Microsoft Purview:
  Boost detection accuracy with AI-driven, context-aware discovery that dramatically cuts false positives. LightBeam's native integration with Microsoft Information Protection (MIP) Labels ensures strong data governance and prevents data leakage with built-in Microsoft Purview DLP policies.

Beyond Microsoft

LightBeam also integrates with a variety of other data sources, including log repositories, ticketing systems, project management tools, databases, messaging platforms, and file storage systems, enhancing data protection and compliance while maintaining a strong security posture across your entire digital ecosystem.

• Sensitive Data Discovery & Cataloging (95%+ Accuracy): Automatically identify and classify sensitive information such as PII, PHI, and PCI data.

• Document Classification & Labeling: Utilize machine learning to efficiently categorize documents into Financial, Medical, Legal, and other key categories.

• Privacy Automation for Compliance: Simplify compliance with one-click automation for Data Subject Requests (DSRs), Records of Processing Activities (RoPA), Privacy Impact Assessments (PIAs) and Consent Management.

• Data Access Governance: Enforce robust access controls to ensure that only authorized users can view sensitive data.

• Risk Remediation: Proactively detect and address data security vulnerabilities before they escalate into breaches.

• Data Minimization: Apply intelligent data retention policies based on contract dates, modification timestamps, and relevant keywords to reduce data storage requirements and ensure global regulatory compliance.