Data Loss Prevention for Cloud: Monitor Cloud Data for Every Endpoint

Comprehensive endpoint-based data loss prevention for cloud that monitors how employees access cloud services, prevents unauthorized data transfers, and protects sensitive data moving to cloud environments.

Trusted by 10,000+ organizations to improve productivity, security, and workforce analytics.

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Why Choose Teramind for Cloud DLP

Monitor Cloud Data Movement from the Endpoint

While traditional cloud DLP solutions require complex integrations, our approach monitors cloud data loss prevention at the source – your endpoints. Track when employees upload sensitive data to cloud services, download confidential data, or attempt unauthorized data transfers through any browser or application.

Prevent Data Exfiltration to Unauthorized Cloud Services

Protect sensitive data from shadow IT and unauthorized cloud platforms. Our DLP solution detects and blocks attempts to upload financial data, personally identifiable information, or intellectual property to unapproved cloud services, preventing data breaches before they occur.

Behavioral Analytics for Cloud Security

Understand how your organization’s data flows to cloud environments. Our data loss prevention DLP uses machine learning to identify unusual patterns in cloud access, detecting insider threats and accidental data loss through behavioral analysis rather than just pattern matching.

Core Teramind Features for Cloud DLP

Our platform provides endpoint-based monitoring and control for data moving to cloud services.

Cloud Data Monitoring and Control

Track all cloud interactions from endpoints:

Monitor when employees access cloud services and cloud platforms
Track file uploads containing sensitive information to any cloud service
Leverage screen recordings for irrefutable evidence of user activity
Detect downloads of confidential data from cloud environments
Block unauthorized data transfers to personal cloud accounts
Create audit trails of all cloud-related data movement

Data Classification and Discovery

Identify sensitive data before it reaches the cloud:

Classify sensitive data including personally identifiable information and financial records
Use exact data matching to identify specific sensitive files
Track unstructured data uploads to cloud services
Monitor data flows between local systems and cloud storage
Detect attempts to store data in unauthorized locations

Shadow IT Detection and Prevention

Control unauthorized cloud usage:

Discover unknown cloud services employees use
Block access to high-risk cloud platforms
Monitor data transmission to personal cloud accounts
Track cloud computing usage across the entire organization
Alert on new cloud solutions adopted without approval

Real-Time Data Protection

Prevent data leaks as they happen:

Real-time blocking of sensitive data uploads
Monitor data access patterns for suspicious activity
Alert when employees attempt to share intellectual property
Track exact data being uploaded or downloaded
Enable immediate response to policy violations

Compliance and Regulatory Support

Meet data protection requirements:

Support general data protection regulation (GDPR) compliance
Track data handling policies for health insurance portability requirements
Generate compliance reports for data protection audits
Document access controls and security measures
Maintain data visibility for regulatory reviews

Behavioral Analytics and Risk Detection

Identify threats through pattern analysis:

Use machine learning to detect abnormal cloud usage
Track user behavior to identify potential insider threats
Monitor for accidental data loss patterns
Analyze data access trends across teams
Prioritize data protection based on risk levels

Enterprise Integrations

Integrate Teramind with your existing infrastructure to enhance DLP.

Integrate with leading SIEM solutions like Splunk, ArcSight, and QRadar to centralize security event monitoring
Connect with SOAR platforms to automate incident response for potential data privacy violations
Leverage Common Event Format (CEF) for standardized security event reporting
Enhance existing security tools with Teramind’s detailed user behavior analytics

Arrivia Stopped an Insider Data Theft Ring
with Teramind

Learn how a leading travel company used Teramind to detect and prevent employee fraud and ensure compliance with federal regulations while building legally defensible evidence for any violations.

Teramind's Core Features

Leverage Teramind’s unparalleled power to solve your workforce challenges.

Live View & Historical Playback

Monitor employee screens in real-time or review past activity with historical playback to gain complete visibility into user activity and computer activity.

Optical Character Recognition

Teramind’s OCR functionality allows you to extract text from images and screenshots, enhancing your monitoring and analysis capabilities.

Website
Monitoring

Track employee time spent on websites, identify unproductive web browsing, and enforce company policies with comprehensive website monitoring.

Application
Monitoring

Monitor application usage, track time spent on specific apps, and identify potential security risks with detailed application monitoring on your endpoints.

Email
Monitoring

Monitor employee emails to prevent data leaks, ensure compliance with company policies, and protect sensitive information.

Instant Message Monitoring

Track instant messages and conversations to gain insights into team communication and collaboration, and ensure compliance.

Social Media Monitoring

Monitor social media activity to protect your brand reputation, prevent data leaks, and ensure employees adhere to company policies.

Network
Monitoring

Gain visibility into network activity, identify potential security threats, and optimize network performance with network monitoring.

Citrix
Monitoring

Monitor employee activity within Citrix environments, track application usage, and ensure data security with specialized Citrix monitoring on your devices.

Remote Desktop Control

Take control of remote employee computers in real-time to provide support, troubleshoot issues, or prevent data breaches and insider threats.

RDP Session Recording

Record RDP sessions to gain a comprehensive understanding of user activity, troubleshoot technical problems, and ensure compliance.

Productivity
Analysis

Analyze employee productivity with detailed metrics, identify areas for improvement, and boost productivity across your team members.

Try a Live Demo
of Teramind

Interact with a live deployment of Teramind
to see how our platform works.

What our Customers Say

“The interface and reporting capabilities of Teramind remain unmatched compared to other products we have tried. Overall, Teramind is far more advanced than other competitors. They are definitely raising the bar and I’ll back them up any day.”

“It’s been an amazing experience and a wonderful software that does exactly what you want! Security, control, peace of mind, the ability to know all that is going on in the organization. Very easy to use. It gives you real data! It has given us the protection that we need!”

“This software has allowed us to save from a potential data breach and being able to catch people leaving who tried to take our IP. Very good software. A bit on the expensive side but worth every penny. Functionality is easy to get around. Has a great GUI.”

FAQs

How does endpoint-based cloud DLP work differently from traditional cloud DLP?

Traditional cloud DLP solutions integrate directly with cloud services through APIs, while endpoint-based cloud data loss prevention monitors at the source - tracking when users interact with cloud platforms through browsers and applications. This approach provides visibility into all cloud services, not just those with API integrations. By monitoring data flows at the endpoint, organizations can protect sensitive data regardless of which cloud services employees use, including shadow IT applications.

What types of sensitive data can be protected from unauthorized cloud uploads?

Data loss prevention for cloud protects various data types including personally identifiable information (PII), financial data, intellectual property, health records, and confidential business information. The system uses multiple detection methods including pattern matching, exact data matching, and keyword detection to accurately identify sensitive information. Whether employees try to upload financial records, customer data, or company data to personal cloud storage, the DLP tools can detect and block these transfers.

How does behavioral analytics enhance cloud data protection?

Modern DLP solutions use machine learning and behavioral analytics to understand normal cloud usage patterns. This helps identify when employees deviate from typical behavior - such as suddenly downloading large amounts of enterprise data or accessing cloud services at unusual times. By tracking data movement patterns and user behavior, the system can detect both malicious insider threats and accidental data loss, reducing false positives while improving threat detection accuracy.

What are best practices for implementing cloud data loss prevention?

Successful cloud DLP implementation starts with data discovery to understand what sensitive information exists and how it flows to cloud environments. Organizations should classify sensitive data based on risk levels, implement role based access controls, and create clear data handling policies. Begin by monitoring cloud access patterns before enabling blocking, educate users about approved cloud services, and regularly review security configurations and access logs. This phased approach ensures data protection without disrupting operational efficiency.