Strengthening Cloud Data Security with Data 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
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
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
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
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
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