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

The Achilles Heel of Data Protection

What is the Achilles Heel of DLP & Data Discovery Solutions? Answer: The detection accuracy A virtual zero false positive rate is found to be key to the success of Data Loss Prevention (DLP) systems for several reasons: Data protection: DLP … Read More

Is Sharing Sensitive Data with ChatGPT Risky?

Is Sharing Sensitive Data with ChatGPT Risky? The answer is Yes. Sharing sensitive data with ChatGPT or any other online service carries some inherent risks, and it’s important to be cautious. Good News, GTB’s Data Security that Workstm does cover … Read More

How to Leverage a Cloud Native Data Loss Prevention Platform

How to leverage a Cloud-Native DLP that Workstm Solution A cloud-native Data Loss Prevention (DLP) solution can be a powerful tool to protect sensitive data in modern cloud environments. Here are some steps you can take to leverage a cloud-native … Read More