The End of Bug Bounty As We Know It

If AI can find and validate vulnerabilities faster than people, why would a company keep paying outsiders to report them? Chris Romeo, Izar Tarandach, and Matt Coles start with Linus Torvalds' changing assessment of AI-generated Linux kernel reports, then examine what useful automation does to the bug bounty economy. They debate disclosure incentives, model restrictions that may constrain defenders more than attackers, and the cost of separating real findings from a flood of submissions. Bugcrowd's reported increase in volume brings the pressure on triage into focus. The conversation asks whether AI validation becomes mandatory, whether internal agents displace public programs, and what remains valuable about human research when both sides can automate the hunt.

Mentioned in this Episode:
➜ Bugcrowd
➜ The Linux Kernel Archives

Chapters:
00:00:00 - Intro and book-writing detours
00:07:16 - Linus Torvalds and AI-generated reports
00:12:06 - When AI bug reports become useful
00:16:16 - Shorter experimentation loops
00:20:06 - Guardrails for defenders and attackers
00:24:00 - Model costs and provider monitoring
00:28:13 - Does AI spell the end of bug bounty?
00:32:01 - Validating the flood of reports
00:35:25 - Bugcrowd submission volume
00:36:18 - Linux kernel review still matters
00:38:21 - AI books and simulated personalities
00:39:52 - Wrap-up

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