LightBeam - DSPM, Data Privacy, Data Governance
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Meeting modern privacy regulations and safeguarding personal information (PI) from unauthorized access requires more than just written policies or point tools - it demands a deep understanding, precise identification, and robust management of data across the entire organization.
Today, PI isn't limited to traditional databases or spreadsheets. It spans multiple repositories, applications, and file types - including messaging tools, ticketing systems, and even images. Effective governance in such a distributed environment requires purpose-built solutions tailored to each application and use case.
Enter LightBeam.
LightBeam unifies data security, privacy, and access governance, enabling organizations to protect sensitive information across cloud, SaaS, and on-premises environments. Powered by generative AI, LightBeam seamlessly integrates sensitive data cataloging, control, and compliance across structured (databases), unstructured (file repositories), and semi-structured (ticketing systems) applications - helping you confidently embark on your data protection journey.
LightBeam and Its Unique Approach to Sensitive Data Discovery
a. Data Visibility: Gain comprehensive insights into what data resides across your cloud, SaaS, or on-premises environments.
b. Data Identity: Clearly identify, cross-reference, and attribute data ownership to an identity - whose data it is - whether customer, employee, or vendor.
c. Data Access: Detect excessive, cross-departmental, or open access, and enforce policies to strictly govern who can access whose data.
AWS and LightBeam Together
LightBeam offers an AI-powered platform that integrates natively with AWS services to deliver comprehensive data security, privacy, and governance.
Key AWS integrations include:
a. Amazon Redshift: Securely analyze and manage large datasets while ensuring sensitive information within Redshift clusters remains protected and compliant.
b. Amazon S3: Identify, classify, and label sensitive data across all S3 buckets and objects, strengthening compliance and data security for stored documents.
c. Amazon RDS: Enhance the security and compliance of relational databases by safeguarding sensitive information in managed RDS instances, preserving privacy for transactional workloads.
d. Amazon Aurora: Deliver scalable, high-performance data protection for sensitive information in Aurora's advanced database environment - supporting compliance for high-demand applications.
Beyond AWS databases and storage, LightBeam extends protection to log repositories, ticketing systems, project management tools, and messaging platforms - providing a unified, enterprise-wide approach to sensitive data governance and compliance.
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