Glasswing, Mythos, and the New Rules of AppSec

Your backlog is growing. Your team isn't. And the window between vulnerability discovery and active exploitation just got a lot smaller.

AI isn't just changing how software gets built — it's changing how it gets broken. Faster code generation means more attack surface hitting production. Smarter discovery tools mean vulnerabilities are found faster, by everyone. And AI-assisted exploitation means the clock starts ticking the moment a flaw exists.

Join us as we explore how AI is reshaping the AppSec landscape — what’s actually changing, what isn’t, and what security programs need to do to keep pace.

What you'll walk away with:

Part 1: A clear-eyed look at what Mythos and AI-driven reasoning actually change about discovery quality, exploit acceleration, and your exposure window

Part 2: The data behind what you're already feeling — backlog growth, remediation timelines, CVE volume trends, and why zero-day pressure isn't going away

Part 3: A practical framework for what your AppSec stack needs now — from exploitability-driven prioritization and noise reduction to automated remediation and continuous enforcement

Part 4: How Mend.io is building the answer — reachability analysis, root-cause grouping, differential scanning, AI remediation, and zero-day detection, so your team can move fast without flying blind

Ready to go deeper?

After the session, schedule a strategic AppSec modernization discussion to see exactly how your program would hold up under AI-driven vulnerability discovery — and where the gaps are before they become incidents.