Danny Jenkins

But at the end of the day, even after all of that, we can throw a piece of code into an AI model and say, tell me potential vulnerabilities in this code.

And it will find things that the smartest people haven't found because it can look faster and quicker and it helps you move forward as a business.

We also use it in various parts of our product, whether it's

And interestingly enough, I use it reclassifying or validating a website categorization.

In the old days, we would have machine learning and keyword analysis and image analysis to determine the type of website you're going to.

And by the way, it's still more accurate than AI today, but with a 96% of sites classified as explicit, correctly classified when you're using keywords.

When you use AI, it's like 70% are correctly classified.

When you combine them together,

you could actually get 99 point something percent accuracy, whereas before you could get 95.

People often think AI is maybe a better technology, but sometimes it's just supportive technology.

And then, of course, we have, in some respect, the benefit of attacks increasing, malware increasing, phishing attacks increasing, phishing attacks getting...

properly written in English now.

And that allows us to deliver good security tools.

So obviously, as a company, we also get to benefit from, hey, we're selling the shield here, we're selling the solution.

Okay, I know you want us to fight, David, but I'm gonna give a different reason.

Okay, that works too, that works too.

So first of all, let's just say we have a metric and it's very, very accurate that the number of successful phishing attacks has gone down in our company.

And we know that it's getting better.

We don't know if attackers have stopped attacking or is our security better.

So I think the latter is more important.