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Productivity Protected by PKWARE

Productivity Protected by PKWARE

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The world’s accomplishments depend on data security. Join PKWARE CEO Spencer Kupferman every month as he chats with data security experts on eliminating security gaps, taking control of sensitive data, and meeting the most stringent data compliance requirements. Tune in to find out how industry leaders are eliminating data security gaps and achieving compliance goals.© 2026 Productivity Protected by PKWARE Politique et gouvernement
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  • CISO Tradecraft: Data-Centric Platform Play with EJ Pappas
    Feb 26 2026

    In this episode of the CISO Tradecraft podcast, PKWARE Field CTO EJ Pappas joined host G Mark Hardy and Ross Young. The group talked about many challenges and solutions for modern data security. One critical component is the shift from platform-centric to data-centric security.

    The experts also discussed the barriers to data visibility that CISOs face and how discovery solutions bring clarity. No conversation could be complete without AI and its role as both a defensive framework and the threats it carries.

    Tune into this engaging conversation with takeaways that are practical and useful.

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    1 h
  • Exploring Data Security: Classification, AI, and Compliance
    Apr 6 2024

    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.

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    35 min
  • SchemaLink Unveiled: Decoding PKWARE z/OS Data Security Solutions
    Jan 28 2024

    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.

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    39 min
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