Data Security
Our AI-driven data identity graph automates data security, privacy, and governance processes to accelerate compliance, cut costs, and more accurately identify sensitive data.
Data Security Posture Management (DSPM)
Converged DSPM delivering unparalleled accuracy in discovering, classifying, and labeling sensitive data across SaaS, cloud, and on-prem environments.
What can you Discover with Spectra?
Whether sensitive information is hiding in images, text, logs, emails, tables, HTML, or JSON -- LightBeam finds it all with ease.
Key Advantages
Reduced Long-Term
Costs
Faster Launch,
Zero Risk
What can you Discover with Spectra?
LightBeam can classify documents automatically based on their content and context. With pre-trained models and automated processes, we can detect and categorize data quickly.
Key Advantages
Reduced Long-Term
Costs
Faster Launch,
Zero Risk
What can you Discover with Spectra?
LightBeam connects to applications such as log repositories, ticketing systems, project management tools, databases, emails, messaging platforms, and file repositories to discover and label sensitive information.
Key Advantages
Reduced Long-Term
Costs
Faster Launch,
Zero Risk
Transform your business with revolutionary data protection solutions from LightBeam
Transform your business with revolutionary data protection solutions from LightBeam
AGA Group Complies with Québec Law 25 and Modernizes Data Security Posture with LightBeam
The Challenge : Law 25 introduced a complex challenge for AGA for a couple of sensitive data discovery & small team
The Goal : Data inventory creation and management & comply with Law 25
Customer
By cross-referencing data attributes that Spectra discovers you can effortlessly build an identity graph of all the data you have under management for each of your customers.
Employee
Utilizing the same methods, Spectra identifies what data you have about your employees and enables you to ensure that no sensitive data belonging to your employees is used improperly.
Partners
LightBeam’s Data@Partners functionality allows you to track what data and whose data has been shared with external partners, enabling you unprecedented insight into data sharing programs.
Redaction
Redacting sensitive information is key to minimizing the risk of unauthorized exposure.
You can perform redaction on-demand or as part of an automated policy, ensuring only essential information is accessible. This approach helps maintain compliance and protects against potential breaches.
Deletion
Remediating risk involves eliminating the potential for exposure by not retaining unnecessary data in the first place. With simple, customizable rules, you can automatically delete data that is irrelevant or no longer required, significantly reducing your risk footprint.
Archival
Archiving data is crucial for effective risk management. By removing inactive datasets from your production environment and securely archiving them, you can reduce data security risks and effortlessly meet compliance requirements.
Audit Control
Audit Control is critical in a data security strategy because it ensures visibility into every action taken on sensitive data, including modifications, deletions, and other actions such as access and file creation. By tracking these activities, organizations can proactively identify risks and maintain a transparent data governance framework.
Reports
Track user actions on sensitive data, linking each action to a specific identity for enhanced visibility and accountability.
Generate identity-aware reports that document key actions, like file modifications or the completion of Data Subject Requests (DSRs), tied to the individuals responsible and whose data it is.
Customize report formats to meet internal audit needs or regulatory requirements, making it easier to demonstrate compliance and governance.
Alert
Set identity-aware alerts for suspicious behavior, such as mass deletions or file encryption, helping to detect and respond to potential threats like ransomware.
Trigger real-time notifications when specific users engage in high-risk actions, allowing you to address potential issues quickly.
Define alert thresholds based on user behaviors and data interactions, enabling proactive detection of unusual activity and potential security threats
Logs
Centralize identity-aware audit logs that capture all actions tied to specific individuals, offering a clear view of who interacts with whose sensitive data.
Identify behavior patterns by reviewing logs to detect trends in data access and usage across your environment.
Ensure data integrity by maintaining detailed, identity-centric logs of all activities, supporting both security investigations and compliance management.
