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Down the Security Rabbithole Podcast (DtSR)

DtSR Episode 621 - Cyber Security Has a Data Problem Part 2

Oct 1, 2024
This conversation features Jason Clark, an expert in data protection, and Nathan Smolenski, who focuses on data-related challenges in cybersecurity. They dive into the transformative role of AI in data classification, showcasing advancements that traditional methods can’t match. The duo discusses evolving data management strategies, emphasizing efficient data governance and loss prevention. Listeners are treated to insights on the growing landscape of cybersecurity and the importance of teamwork, all wrapped in a lighthearted take on themed camaraderie.
42:05

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Quick takeaways

  • Outdated approaches to data security have led to fragmented strategies, emphasizing the need for accurate data classification and governance.
  • The integration of AI in data security can revolutionize classification processes, enhancing efficiency while minimizing reliance on human intervention.

Deep dives

Understanding the Data Security Problem

Data security faces significant challenges due to various factors, including outdated approaches and ineffective governance. Past attempts, like data governance projects and DLP programs, failed to deliver effective solutions, largely because they relied too heavily on human input and cumbersome processes. Individuals often struggled with classifying sensitive information correctly, leading to fragmented security strategies that did not scale well. There is a need to identify and classify data accurately to enhance overall governance and control; otherwise, the existing security measures remain inadequate.

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