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GTB Technologies^®

THE GTB Market GUIDE TO

Key & Advanced Features of Enterprise Data protection Solutions

Characteristics Required for Enterprise DLP and Data Security

GTB Technologies^® is known throughout the Data Loss Prevention (DLP) space for its strong, data-centric, security-focused approach. The company meets Enterprises’ criteria by providing a full range of capabilities to address modern data protection challenges that occur within sensitive data of all types, including but not limited to unstructured, structured, and images whether the data is at rest, data in use, and data in motion.

The following characteristics (both Key and Optional) describe GTB Technologies^® Data Security solutions:

Key Characteristics for Enterprise DLP

Identifying Sensitive Data at Rest and in Motion Across Various Channels

GTB Technologies^® DLP solution offers deep visibility into sensitive data movement across communication and storage channels, including:

Email: Observing and preventing sensitive data leakage
Endpoints: Detecting and securing data on the user devices
Networks: Stopping unauthorized transmissions
Web Browsers: Observing cloud application session activity
Cloud: Protecting data inside cloud storage and Software-as-a-Service applications
GTB AI^TM: Monitoring the use of sensitive data with AI-centric tools
Printers (on or off-premise)
Attached Storage and USB’s
Data in Motion to File-Shares

This cross-channel monitoring keeps sensitive data protected throughout its lifecycle.

Automated Incident Response Workflow

GTB Technologies Data Loss Prevention (DLP) solution combines automated workflows for efficient incident response. Upon detection of a data security event, the platform can:

Assess and categorize incidents based on risk severity.
Initiate preset response mechanisms, including quarantine, escalation, or forensic investigation.
Alert appropriate parties to enable timely mitigation.

This greatly reduces the investment of time and energy often required in manual incident management, enabling security teams to respond to threats more effectively.

Automated Preventative Controls

To prevent unauthorized exposure of data, the platform uses automated enforcement mechanisms. These include:

Blocking: Blocks the data transmission if a policy violation is detected.
Encryption: Automatically encrypts confidential information to maintain its privacy.
Alerting: Immediately informs security teams when it identifies risks.
User Justification: Asks the users why they need to share some kinds of their sensitive data, preventing possible leaking.

Single Channel Data-Centric Content Inspection Logic

GTB Technologies uses advanced content inspection tools to track policy violations across individual communication channels. For instance, it can:

Detect users sending corporate credit card information to personal emails.
Discover unauthorized downloads or transfers of sensitive files.
Review patterns in data to determine possible compliance violations.

Granular Incident Reporting

The platform provides comprehensive incident reports comprising:

Incident details (who, what, when, and where data exposure occurred).
Understanding user behavior to help determine if an action was deliberate and not simply an act of laziness.
Details related to data classification to determine the sensitivity of exposed information.
What remediation actions were taken and their effectiveness.

These reports track trends to improve policies and meet audit requirements for security teams.

Policy Templates for Regulated Data Types

To help organizations become compliant, GTB Technologies offers prebuilt policies for the most regulated data such as:

Personal data or Personally Identifiable Information (PII) for 180 countries
Protected Health Information (PHI) (e.g., HIPAA compliance)
Payment or Financial Information (e.g., Payment Card Industry (PCI DSS) compliance)

These templates enable organizations to enforce industry-specific security requirements with little configuration.

Integration with SIEM Platforms for Incident Response

GTB Technologies DLP solution integrates easily with Security Incident and Event Management (SIEM)

Centralizes threat intelligence through the correlation of DLP incidents with wider security events.
Live alerts that warrant action for security operations teams.
Triggered remediation workflows within your SIEM platform for response orchestration.

Effective and Accurate

The precision of our solutions helps reduce the dreaded false positives, which often drain resources and bog down cybersecurity teams, allowing them to focus on true threats.
Furthermore, the accuracy and effectiveness of our DLP solutions play a significant role in cybersecurity training for employees and end-users. By providing real-time alerts and insights, our solutions help train users to recognize and prevent potential data security threats, reinforcing the importance of good security practices in daily operations.

Optional Characteristics within the
Data Security That Works^® Platform

The Data Security That Works^® platform from GTB Technologies^® is a complete data protection solution created to help protect financial data, sensitive personal information, and other sensitive information across different digital environments. The latest security technologies for insider-threat, and role-based access are integrated into its advanced data loss prevention (DLP) platform.

Insider Threat / UEBA

GTB incorporates UEBA / Insider Threat as part of the threat detection process. Using AI and /or detection policies permit the system to identify the highest security risk users, detect potential threats to sensitive data, generated by compromised accounts or malicious insiders trying to exfiltrate sensitive data. With a focus on accurate, real-time threat identification, it helps to ensure effective protection of your sensitive data.

Multichannel Correlation for the Inspection of User-Centric Content

We have sophisticated logic in our content inspection system that cross-correlates user actions across different communication portals. For instance, it might see that a user emailed corporate credit card numbers to their personal email and, at the same time, downloaded sensitive sales data from the corporate CRM system. By incorporating multiple perspectives into their monitoring approach, security professionals can concentrate on behavioral indiscretions, alerting them to possible data breaches rather than isolated events.

Templates for Nonregulated Data Types

The platform also provides predefined policy templates for unregulated but sensitive data types. These include: – Controlled Unclassified Information (CUI) – Intellectual Property (IP) – Source Code These policies provide organizations ways to protect proprietary data and trade secrets with minimal to no customization

Data Classification Tags Application

The GTB platform facilitates effortless compatibility with classification vendors, enabling users to implement those classifications into policies that can be managed and enforced throughout the complete product suite, thus strengthening data governance. Organizations could classify data based on sensitivity levels (such as confidential, internal, public) with appropriate security controls placed on access or additional encryption. This helps provide protection of classified information from unauthorized access and leaks. GTB’s ability to provide real-time discovery and data classification to not only enhance data detection accuracy, but also give the ability to combine the data classification process with security policies for more efficient protection. Data Discovery and Classification is available for many cloud storage accounts as well local PCs and File-Shares.

Role-Based Access Controls (RBAC) for Incident Response and Review

RBAC simplifies incident response and security review. It helps make sure that only authorized personnel can access, analyze, and respond to security incidents. Organizations can implement granular permissions to maintain data integrity and allow for smooth threat mitigation.

Mobile Data Content Detection

As businesses become increasingly dependent on mobile devices, GTB Technologies’ platform has now extended its content detection capability to mobile endpoints. It does this by scanning and monitoring for sensitive data stored on mobile devices to prevent unauthorized access, sharing, or exfiltration. This capability plays a vital role in protecting corporate information within a mobile-first workplace even when the user is off-premise.

Person-Based Access Security (PBAS)

GTB Technologies’ platform applies dynamic risk scores to users based on their roles, behaviors, and access patterns. This functionality allows security teams to focus on actual investigations and response by determining which users are high-risk or if any anomalous action is being taken outside of regular usage. The system dynamically updates its risk scoring to reflect new threats that may not have been present when the initial risk assessment was conducted. In beta release.

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Conclusion

GTB Technologies^®' Data Security That Works^® platform provides a powerful and intelligent framework to secure data far beyond traditional DLP. The platform connects into UEBA, utilizes multichannel correlation, and applies dynamic risk scoring to uncover and neutralize insider threats before damage occurs and sensitive data is compromised. Used with policy templates, classification enforcement, and mobile security features, the organization can secure data extensively without undermining its compliance or operational efficiency.

Overall Benefits

User Benefits

Business Benefits