DATA EXFILTRATION

Safeguarding Data: The Top Use Cases for an Advanced DLP Strategy with GTB’s DLP that Works

Safeguarding Data: The Top Use Cases for an Advanced DLP Strategy with GTB’s DLP that Workstm In today’s digital age, businesses face an increasing challenge of safeguarding sensitive data against evolving cyber threats. An advanced Data Loss Prevention (DLP) strategy … Read More

Mastering Domain-Specific Generative AI with Enterprise DLP that Works

Mastering Domain-Specific Generative AI: Protecting Sensitive Data with DLP Domain Specific Generative AI refers to the use of generative models, which are capable of creating new content, within a specific domain or field of expertise. These models are trained on … Read More

Strengthening Cloud Data Security

Strengthening Cloud Data Security withData Loss Prevention (DLP) In today’s rapidly evolving digital landscape, cloud computing has emerged as a cornerstone of modern business operations. As organizations increasingly adopt cloud services to enhance efficiency, scalability, and collaboration, the importance of … Read More

Data Security and Decision-Making

The GTB Data Protection Platform’s Role inInsider Threat Defense, Risk-informed Choices, Malicious Data Exfiltration Prevention, and Compliance In the dynamic realm of cybersecurity, businesses encounter multifaceted challenges in upholding the integrity of their sensitive information against insider threats, meeting regulatory … Read More

Beyond the Hype: Unveiling the Limitations of Marketing Reports in Assessing Solution Value

Beyond the Hype: Unveiling the Limitations of Marketing Reports in Assessing Solution Value In the realm of technology, marketing reports such as Market Magic Quadrants, Radar charts, and similar visual assessments often serve as eye-catching tools that promise to guide … Read More

Machine Learning False Positives

How inaccurate is machine learning? Machine Learning is Very inaccurate The accuracy of machine learning models can vary depending on various factors such as the quality and quantity of training data, the complexity of the problem being solved, the algorithm … Read More