“I actually think in the long enough time scale, LLMs favor defenders, because one of the things defenders have to do is process huge amounts of data and cover lots of doors and windows. … I can deploy expertise that would be very expensive for me to hire in the form of inference at my gates and doors.”

not so much like, sure, are my foundations covered? But what happens when like the size of what comes is bigger than anything that we've had before? And some of it will be noise, but I'll, but I won't, I'll have to prosecute all of it, if that makes sense.

Yeah. Do you suppose that we have a version of equilibrium in our future? Or is it going to be push-pull for the foreseeable future?

improving thing. I can deploy expertise that would be very expensive. For me to hire in the form of inference at you know at my gates and doors, however, that is on a long enough time scale. I think in the short time scale, I think we have like you know, we're gonna have all of the vulnerabilities…

up. So, I think we will reestablish a different equilibrium and a different baseline. I think we're still figuring out how to use AI on both sides. So, there will be a new baseline. Because mainly the thing that drives cybersecurity is economics: like, how expensive is it to prosecute an attack?…

That's Greg Notch, CTO at Expel. The cybersecurity challenges shaping our future demand more than conversation, they demand action. On November 18th, the Aspen Cyber Summit brings together leading voices from government, industry, and civil society in Washington, D.C. to tackle today's most…