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THE VIDEO SHELF · fraud and social engineering

Frank Abagnale | Catch Me If You Can | Talks at Google

Frank Abagnale, the real subject of Catch Me If You Can, speaks at Google about his life as a con man turned FBI fraud and cybersecurity expert, including advice on fraud, breaches and credit cards.

Why HN readers recommended it

Praised as a charismatic, engaging talk with practical security lessons, like why credit cards protect you better than debit cards.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Talks at Google
Topic
fraud and social engineering
Format
talk
Level
general
HN recommenders in dataset
8
HN mentions in dataset
15
Recommendation years in dataset
2018–2023

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • I bumped into this talk today: Frank Abagnale: "Catch Me If You Can" [VIDEO] He became an FBI agent and works with data breaches. So after entertainingly describing his life story he does mention the Equifax breach at the 37m mark. He paints a very …

    willvarfar on Hacker News · 2018-01
    In Elizabeth Warren's bill would fine the next Equifax for data breach
  • He did a talk at Google where he asserted basically the same thing: [VIDEO] Great talk by the way, he's an incredibly charismatic and well spoken story teller, also a consultant for the FBI and a successful businessman - which makes you think about just …

    dmcdm on Hacker News · 2019-02
    In How A Young Woman Followed Two Hackers' Lies to Her Death
  • Offtopic, Frank Abnegale ( Catch me if you can fame ) also says the same thing in his [1] lecture at Google. The whole lecture is also pretty interesting. One of the best google talks I have seen. [1]: [VIDEO]

    ai_ia on Hacker News · 2019-03
    In Golden Rules for Making Money (1880)

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.