AI-driven vulnerability discovery is creating an avalanche. Are you ready?
An avalanche of AI-discovered findings is hitting the medical device space, and manufacturers who do not act now will spend the next year explaining themselves to regulators.
AI tools can tear through products at speeds humans cannot match, and CVE volume went exponential. Finding vulnerabilities is no longer the challenge. Understanding which ones actually affect your product is.
Jason Sinchak breaks down why AI is splitting pentesting into two layers: automated discovery and contextual verification. Regulators require defensible ratings, and only device context can produce them.
The tool categories driving AI vulnerability discovery and why the curve does not flatten.
The difference between a finding that exists and a vulnerability that is exploitable on your device.
How automated verification against a digital twin removes false positives before they reach a developer.
Why in a regulated market you want the answer before a researcher, a customer, or the FDA asks.
How a digital twin carries intelligence across every release and every product.
Practical strategies for keeping engineering teams out of the triage pit.
"Manufacturers who prepare for the volume now will spend next year shipping. Everyone else will spend it explaining."
ELTON runs the discovery and the verification this webinar describes: continuously, on the real device, with evidence for every disposition.