Nikesh Arora
speaker
270 appearances
1 recordings
1 series
first heard May 2026
last heard 15 May
Nikesh Arora’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in May 2026 with 1.
Appearances
And unfortunately, humans have been writing bad code for a very long time.
So on average, we'll find about one-fifth or one-seventh of what was found in the last six weeks using these models.
Now, of course, remember, we ran a concerted effort to see what the models are going to find.
We had hundreds of engineers working on it to make sure we look under every rock, run every product through it.
It's almost like it's a great cleansing, right?
So it's a great cleansing moment.
We found seven times the volume that we would have normally found in a normal period.
It's not going to happen again, hopefully, because we have hopefully cleared out a whole bunch of the, let's call it the tech debt or the vulnerability debt.
But I think a lot of organizations will have to go through this moment to understand how much of their code written in the past
suffers from these vulnerabilities.
They'll have to do their own work.
They'll have to make sure that it's fixed.
I think the challenge we're going to run into is most companies use a large corpus of open source.
And open source doesn't get bashed or remediated as quickly as your own proprietary code can.
The other thing we found very interestingly with Mythos and other models is it's really good at daisy-chaining vulnerabilities.
And that's what needs to be sort of contended for.
That's a great question, Casey.
I think that's what should keep us up at night, right?
Because not every organization has resources to fix code that could have been written 20 years ago.
Now, the good news is that, you know,
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