zero trust

Stop Data Exfiltration Risk with GTB Technologies®

 Stop Data Exfiltration Risk with GTB Technologies® Don’t Let Your Data Walk Out the Door   Data exfiltration is one of the most serious threats facing organizations today. Whether it’s caused by malicious insiders, phishing attacks, or simple human error, … Read More

The Hidden Threat: Addressing Security Holes in IRM and DRM Encryption

The Hidden Threat: Addressing Security Holes in IRM and DRM Encryption Information rights management (IRM), also known as digital rights management (DRM), and encryption are not all they’re cracked up to be, and organizations need to account for their well-known … Read More

The Problem of False Positives in Traditional DDR and DLP Solutions

Navigating the Complexities of Securing Unstructured Data Challenges in Securing Unstructured Data Unstructured data, encompassing emails, documents, multimedia files, and more, poses unique security risks due to its decentralized nature and varied formats.   Traditional security approaches often struggle to monitor … Read More

Cybersecurity Failures Due to AI

AI’s Impact on Cybersecurity: Unintended Consequences The Double-Edged Sword of AI in Cybersecurity Artificial Intelligence (AI) has revolutionized many aspects of our digital world, bringing unprecedented advancements in automation, data analysis, and threat detection. However, like any powerful tool, AI … Read More

Unveiling the Flaws in Data Loss Prevention: Rethinking Data Security with GTB’s “Data Security that Works®” Solution

Unveiling the Flaws in Data Loss Prevention: Rethinking Data Security with GTB’s Data Security that Works® Solution In today’s digital age, safeguarding sensitive information is non-negotiable. With the escalating cyber threats, organizations are turning to Data Loss Prevention (DLP) solutions … Read More

Crafting a Comprehensive Data Security Approach for Generative AI

Crafting a Comprehensive Data Security Approach for Generative AI As organizations increasingly leverage Generative AI, particularly large language models, data security becomes paramount. Traditional approaches such as the use of outdated traditional Data Loss Prevention (DLP) are no longer sufficient … Read More