Join PKWARE's CEO, Spencer Kupferman, and Eden Priela of Converge Technologies as they unravel the complexities of data security, emphasizing classification and discovery. Discover how AI-driven advancements have reshaped data management over the past decade. Explore use cases showcasing how classification and discovery mitigate risks and meet compliance mandates such as PCI. Gain insights into implementing a security-first mindset across organizations, locally and globally.

Explore the groundbreaking SchemaLink Technology by PKWARE, unraveling how it solves the unsolved challenges in z/OS data security. Join us as we delve into the intricacies of PK Protect, questioning, understanding, and demystifying the evolution of precise sensitive data discovery on z/OS datasets.

In this podcast episode, featuring the insightful Dusty Rivers as the guest, we delve deep into the world of mainframe modernization—an essential conversation for businesses navigating the digital landscape. As an eminent figure well-versed in all facets of mainframe systems, Dusty talks about demystifying the concept of mainframe modernization. He passionately articulates its significance in today's tech landscape, highlighting how this evolution is not just a choice but a necessity for businesses aiming to stay competitive and agile in the digital era especially as it relates to z/OS systems. 

Our recent podcast with Len Santalucia delves deep into the ever-changing mainframe security landscape. We discuss how z/OS is the ultimate platform for sensitive data and has been for 40 years making it a prime target for those with malicious intent. Len identifies insider threats as one of the top security concerns for IBM Z, while providing insights into the best practices for actually protecting the data.

In our latest Productivity Protected Podcast, we had the pleasure of speaking with Meredith Stowell, Vice President of IBM Z Ecosystem. With her extensive background in technology and a deep understanding of IBM's innovative solutions, Stowell shared her insights about her journey into technology, the evolution of mainframe technology, the impact of quantum-resistant cryptography, the intersection of Telum and AI with mainframe cybersecurity, the challenges posed by rapid AI advancements, and the key takeaways about IBM Z Ecosystem.

In this podcast, we are speaking with Nidhi Mahajan, an expert from our Engineering Team, discussing our recently released Dynamic Masking feature. We discuss the differences between Dynamic Masking and Static Masking, highlighting our real-time approach and preservation of original data along with ensuring data integrity and ensuring compliance is met. Nidhi highlights how user-friendly PKWARE's Dynamic Masking is, with its intuitive interface, easy implementation and how the solution delivers robust data protection without compromise. Tune in to gain valuable insights from Nidhi's experience and learn about the cutting-edge capabilities of PKWARE's Dynamic Masking.

As data has evolved over the years, so too has data risk management changed and evolved. Mandates such as HIPAA, GDPR, CCPA, and PCI DSS continue to adjust how organizations collect, use, store, and protect their data, while new advancements such as AI offer new ways to achieve—or circumvent—that protection. Converge VP Solution Architecture Dan Gregory joins host Spencer Kupferman to talk about security cultures, personalized data risk assessments, and what listeners can do today to prepare for the cybersecurity needs of tomorrow.  

Sensitive data discovery seems like a straightforward process, but in reality, it’s a nuanced practice that involves detailed understanding in order to make sure that organizations are as aware and protected as possible. Businesses must have a comprehensive view of data that is easy to implement and use, and can scale as data inevitably grows. Bloor Research Senior Analyst Daniel Howard joins host Spencer Kupferman to discuss data discovery and data governance, the challenges organizations face with discovery, and the importance of having an inclusive and ongoing process to protect sensitive data.