• The Industrial Security Podcast

  • Auteur(s): PI Media
  • Podcast

The Industrial Security Podcast

Auteur(s): PI Media
  • Résumé

  • Your lights are on, your car runs, because industrial systems work 24/7 to keep our lives ticking. But what happens when those systems—the very pillars of modern society—are threatened?

    Hosted by Nate Nelson and Andrew Ginter, The Industrial Security Podcast takes a deep-dive into the most pressing emerging issues in SCADA technologies today. But don't just take our word for it: each new episode of the show features a leading voice in the world of industrial control systems security. You'll hear from executives, engineers, researchers and more, each with their own unique take on what's wrong with how we do things today, and how to fix it.

    ICS security is complicated. Here is where it all comes together.
    Copyright PI Media
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Épisodes
  • How to Embed 30 Years of Security Funding into Capital Budgets [The Industrial Security Podcast]
    Jan 27 2025
    Most of us struggle to get funding for industrial cybersecurity. Ian Fleming of Deloitte explains how - because cybersecurity is essential to sustaining the value of industrial assets - how we can embed up to 20 or 30 years of cybersecurity budget into capital plans, rather than fight for budget every year.
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    56 min
  • Insights into Nation State Threats [The Industrial Security Podcast]
    Dec 9 2024
    Nation state threats are often portrayed as the "irresistible forces" of cyber threats, with little qualification. Joseph Price of Deloitte joins us to dig deeper - what are nation states capable of, what are they up to, and how should we interpret the information that is available to the public?
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    1 h et 7 min
  • OT Security Data Science - A better vulnerability database [The Industrial Security Podcast]
    Nov 20 2024
    Security automation needs a machine-readable vulnerability database. Carmit Yadin of Device Total joins us to look at limitations of the widely-used National Vulnerability Database (NVD), and explore a new "data science" alternative.
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    35 min

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