Getting Ahead of
the Mythos Effect
Models like Mythos will surface vulnerabilities faster than any team can patch them. Here’s what to do about it.
When discovery stops being the bottleneck,
everything downstream of it breaks.
The Mythos effect is easy to name and hard to survive: when a frontier model can surface vulnerabilities faster than any team can patch them, discovery stops being the bottleneck — and everything downstream of it breaks.
Every leap in scanning capability has ended the same way: more findings than anyone can act on. The next leap is bigger. Frontier models can reason across a codebase, surface classes of vulnerability that current tooling misses, and do it continuously.
That’s good news for defenders — but only for the ones who’ve solved the step after discovery. Dan Barahona sits down with Megan Horner of Seemplicity to work through what changes when discovery stops being the constraint: how to decide what gets fixed first, how remediation ownership has to work when volume jumps, and what to put in place now rather than after the backlog arrives.
Bring questions. Megan and Dan will take them live.
What you’ll take away
- The new shape of the queueHow AI-driven discovery changes the shape of your findings queue, not just its size.
- Ranking when everything’s urgentA practical way to rank what matters when everything looks urgent.
- Where ownership breaksWhere remediation ownership breaks down as volume scales, and how teams are fixing it.
- What to build nowWhat to build into your vulnerability workflow in the next two quarters.
