Julie Inman Grant

speaker
765 appearances 66 recordings 36 series first heard Mar 2026 last heard 18 Aug

Julie Inman Grant’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
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Recordings per month over the last 12 months — 66 in all, peaking in Jul 2026 with 32.

Appearances

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So that's when we started to see it.
And again, then the blackmailers or the overseas criminals started to realize that the Nigerian print scam or entering the lotto and winning the lotto that you never entered was not being as lucrative.
This is a pretty ingenious way to target young men who make
might want to take a risk, have a sexy chat.
You know, there's a hot blonde who's, you know, reached out to you and seems to know
your friends and people from an adjacent school, they do their research in advance.
What we're seeing that's really alarming is that because criminals don't have compliance rules,
there tend to be early adopters of advanced technologies.
So we're starting to see more vishing, which is voice cloning to use phishing type social engineering scams, but also what we call face swapping.
So using deep fake technologies where they can superimpose a false face on their own.
And it looks like you're conversing with a woman or another person that you're not conversing with.
This is how convincing the technology is.
I mean, you'll remember the days when you could pick all of the grammatical errors or the spelling errors.
Generative AI helps make that perfect for people.
So a lot of social media sites or even dating sites may have information on who your followers are.
You can do some really pretty basic analysis and you can see who is responding to different posts.
So they will do their research in advance, particularly once they
They get a bite, if you will, from the phishing attempt.
We have seen on some platforms like Instagram up to 10,000 fake and imposter accounts using the same image of a blonde person.
I think this particular one that we identified and said, hey, you might want to use some machine learning to identify some of these faces because they're using the same image.
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