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Welcome to Cyberwire X. I'm Dave Bittner.

For decades, vulnerability management has operated on a simple assumption.

Defenders would have at least some time between discovering a weakness and seeing it exploited.

That assumption is rapidly breaking down.

Advances in AI are changing the economics and speed of offensive security.

Today's frontier models can identify vulnerabilities, connect attack paths, and surface exploitable

conditions at a pace that challenges traditional security workflows.

Processes built around quarterly assessments and human-led

validation are being pressured by systems that can operate continuously and at machine speed.

So what happens when the bottleneck is no longer finding vulnerabilities, but confirming and

fixing them fast enough.

Joining me today is Federico Kirchbaum, head of Expo Security Lab.

Federico brings more than two decades of experience in cybersecurity and is also the co-founder of Faraday Security and Eco Party,

one of Latin America's most influential hacking conferences.

We'll discuss autonomous offensive security,

the growing gap between machine discovery and human validation,

and how organizations are redefining what it means for an application

to be truly tested in the age of AI.

Stay with us.

Just by seeing the news, we can tell that not only the finding of vulnerabilities has changed, but also the exploitation and the

time to exploit those vulnerabilities. So, yes, we're living quite special times in how AI,

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