エピソード

  • Collaboration In Product Security
    2026/04/02
    How do security professionals work together to manage the known and the unknown? The Compiler team wraps up their exploration of product security by focusing on how teams across companies and projects work together effectively. Jeremy West returns to the show to share how transparency, standards, and accountability drive better outcomes when things go wrong.
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    20 分
  • Keeping Track Of Vulnerabilities With CVEs
    2026/03/19
    Every lock has its weakness. That applies to the world of IT security—and any one piece of software can have multiple vulnerabilities. Code changes. Stacks evolve. The potential for incursions keeps growing. How can anyone keep track of it all? Enter the Common Vulnerabilities and Exposures Program. Jeremy West, Senior Manager of Product Security Engineering at Red Hat, walks us through the CVE tracking and remediation process—and explains why having a common standard is vital for everyone's security.
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    47 分
  • Post-quantum Cryptography
    2026/03/05
    What happens when the encryption protecting the world’s most sensitive data is broken? As quantum computing advances, the standard algorithms we use for banking, healthcare, and government operations are facing an existential threat. Red Hat Distinguished Engineer Simo Sorce breaks down the real-world implications of post-quantum security threats, and how the IT industry is shifting toward quantum-resistant services.
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    32 分
  • Understanding AI Security Frameworks
    2026/02/19
    With AI, traditional security methods don’t apply. Conventional defenses and ways of thinking cannot account for the myriad of attack vectors an AI model can present to a nefarious actor. Red Hat Principal Product Security Engineer Huzaifa Sidhpurwala breaks down the emerging security frameworks designed for the AI era, and tells us why complacency is (still) the weakest point when securing systems.
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    29 分
  • Data Security And AI
    2026/02/05
    The relationship between data and AI is...complicated. AI is built on data. It often needs more. A wealth of data can make AI strong. But it can also be a weakness. Clarence Clayton, Director of Global Privacy + AI Risk and Compliance at Red Hat, helps us understand the increasingly complex interplay between data and AI—because the flow of information isn't a one-way street.
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    30 分
  • Data Security 101
    2026/01/22
    They say "data is king." From secret recipes to performance metrics and beyond, organizations use mountains of data every day. It's important to keep that data safe from scammers, the competition, or anyone else who could misuse it. Securing that data isn't easy. Clarence Clayton, Director of Global Privacy + AI Risk and Compliance at Red Hat, lays out the foundations of data security. He covers what needs to be protected and explains some of the basic principles you should follow to keep data thieves out of your database.
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    33 分
  • AI Is Changing The Threat Landscape
    2026/01/08

    The rapid adoption of AI often means security is an afterthought. And let's face it—humans are not always great at assessing risk. But how has AI transformed the security landscape? What can the industry do to stay informed and ready to respond to threats? And what does this mean for product security?

    Jeff Crume, distinguished engineer at IBM, stops by to talk about AI as "the new attack surface", and explains why the technology, like so many others, can be used for both altruistic and malicious intentions.

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    32 分
  • What Is Product Security?
    2025/09/25

    Our trust in the internet is the lowest it’s ever been. In spite of our vigilance, we face more threats than ever before. Product security is a vital element in the defense against malicious incursions. This season of Compiler covers the particulars of product security.

    With some help from Emily Fox, Portfolio Security Architect at Red Hat, our hosts kick off the season with a simple question: What is product security?

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    40 分