LightBeam AI, the zero trust data protection pioneer, converges and simplifies data security, privacy, and AI governance, so businesses can accelerate their growth in new markets with speed and confidence. Leveraging generative AI as a foundational technology, LightBeam ties together sensitive data cataloging, control, and compliance across structured, unstructured, and semi-structured data applications providing 360-visibility, risk remediation, and compliance with PCI, GLBA, GDPR, HIPAA among other regulations. Continuous monitoring with full data residency ensures ultimate zero-trust data protection. LightBeam is on a mission to create a secure privacy-first world.

Zero Trust Data Protection

The LightBeam approach to Zero Trust Data Protection encompasses the concepts of No Trust by Default, Identity-Centric Data Inventory, and Automation for Risk Mitigation. By default, no trust is granted, ensuring that every data access request is authenticated and authorized. This model is supported by an identity-centric data inventory that links data fragments to individual data subjects, enabling precise management and privacy controls. LightBeam's automation framework further enhances data protection by automatically discovering, alerting, and handling sensitive data across applications, databases, and unstructured data repositories. This approach not only mitigates risks but also ensures continuous compliance with regulations like GDPR, Quebec Law 25, CPRA, HIPAA, and PCI-DSS.

How LightBeam protects you?
Ensures that all data access is verified and authenticated, following the principle of zero trust.
Tracks sensitive data by linking it to specific data subjects, facilitating precise data management and privacy.
Employs automated systems to detect, alert, and handle sensitive data, ensuring continuous compliance with various regulations.

Solutions and Services

A summary of the key solutions and services you offer, particularly those relevant to our partnership.


Focuses on data discovery and risk remediation. It involves identifying structured, unstructured, and semi-structured data. Risk remediation includes redaction to remove sensitive information, archival for secure long-term storage, and deletion to permanently eliminate unnecessary data.


Emphasize protecting individual data rights. Key practices include responding to data subject requests, managing consent, and maintaining processing records. Privacy impact assessments and third-party risk management are crucial. The right to be forgotten and advanced data management tools (ADMT) support robust privacy management.


Ensure proper data handling throughout its lifecycle. This includes labeling and cataloging data for easy management, setting retention policies, and overseeing data from creation to deletion. Access controls restrict data to authorized users, and residency requirements ensure compliant data storage. Effective governance maintains data integrity and regulatory compliance.

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