Every major AI lab is producing models that can autonomously discover and chain vulnerabilities at speeds no human team can match. Submission volumes at some enterprise HackerOne programs are up 130% this year.
The bottleneck has moved. Figuring out what's real, proving what's exploitable, and getting findings to engineering in a form they'll act on is where programs are breaking down now. Your backlog has become a live attack surface, worked by adversaries using the same AI tooling your team is still evaluating.
On June 17, HackerOne co-founders Alex Rice and Michiel Prins, CPO Nidhi Aggarwal, and a guest enterprise security leader go live for an unscripted AMA to share learnings and tackle audience questions.
What you'll hear:
- Where the find-to-fix loop is breaking down, and what it costs when engineering loses trust in the signal
- What validated signal looks like, from raw AI discovery to findings engineering will act on
- What the transition to continuous testing actually requires operationally
- The board question worth answering: how quickly can you close exposure after you know about it?
