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 breachHe 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 DeathOfftopic, 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.