• I Deep Faked My Boss: The Intellicheck Podcast
    2025/06/28

    This week’s topic is Deep Fakes: How easy they are to create, and how to stop them.

    With us this week is an expert on the topic, Danny Malter is the VP of Data Science and Machine Learning at Intellicheck. He has a fascinating article entitled, I DeepFaked My Boss.

    For newcomers, this is the show where we delve into the news and issues around identity verification, identity fraud, and the tools needed to combat it. For more information, see https://intellicheck.com

    Chapters
    • (00:00:00) - Are Deep Fakes Easy to Create?
    • (00:02:48) - How IntelliCheck Solves the Problem of Deepfakes
    • (00:08:59) - Deepfakes: How to Fake an Intel Leak
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    10 分
  • Ghost Students: The Intellicheck Podcast
    2025/06/18

    This week’s topic is Ghost Students, which was recently written about in SFGate. There will be a link in the Episode description to the article.

    With us this week is Bryan Lewis, CEO of Intellicheck and someone who knows a lot about the issue, and has a new article out on the subject, which you can read here: https://www.intellicheck.com/resource-library/the-rise-in-ghost-students-how-fraudsters-use-fake-identities.

    To find out more, check out https://intellicheck.com.

    Chapters
    • (00:00:00) - Intellicheck: Ghost Students
    • (00:00:44) - Ghost Students: How to Stop Identity Theft
    • (00:05:25) - Intellicheck CEO Brian Lewis on Ghost Students
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    6 分
  • The Intellicheck Podcast Promo
    2025/06/16

    Introducing the Intellicheck Podcast. This is the podcast where we delve into the news and issues around identity verification, identity fraud, fake ids, and the tools needed to combat them. In our first season, we’ll be covering issues such as ghost students, how to spot fake ids and more.

    So tune in for more information, on Apple Podcasts, Spotify or wherever you get your favorite podcasts.

    So don’t forget the Intellicheck Podcast. Thanks!

    Chapters
    • (00:00:03) - Identity Verification: Fake IDs, Deep Fakes, and
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    1 分