Fred Heiding

There's two really, really big takeaways here.

And as you said in the introduction, a lot of cybersecurity today is surviving because we just don't have enough manpower to test or attack from the attacker's perspective, everything.

And that's just completely changing.

These AI models, be that now or in one year or in two years,

they can just automate every part of cyber research or almost every part.

So the human factors is gone.

The day of human pen testers and security experts are gone.

And that's massive.

So I think that's the first really big thing.

The second really big thing is that

This is almost changing from a security problem to an admin problem or a regulatory problem.

We see how Anthropic is working on giving this pre-access to defenders so that they can use this model before attackers get their hand on it.

And that's actually massive.

That type of collaboration can be a complete game changer.

So there's technical things, there's collaborative things, and both of them are really big.

The first fundamental way to verify this is just to look at the vulnerabilities that we find, right?

And there's a lot of really bad vulnerabilities that could cause a lot of damage that Anthropic managed to find using these AI automated tools.

So I think we can definitely say that this is bad.

And yeah, of course, a lot of people are developing AI models.

Other AI models can also do these things.