{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI Security Ops","title":"AI and Bug Bounties | Episode 51","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/cc3f4c18\"></iframe>","width":"100%","height":180,"duration":829,"description":"In this episode of BHIS Presents: AI Security Ops, the team breaks down a growing problem in cybersecurity: AI-generated bug bounty “slop” overwhelming the system.What started as a powerful way to crowdsource vulnerability discovery is now hitting a breaking point. Programs like cURL’s bug bounty and platforms like HackerOne are seeing a massive surge in submissions — but fewer and fewer of them are actually valid.The result? Security teams spending hours reviewing reports that go nowhere, while real vulnerabilities risk getting buried in the noise.We dig into:• Why cURL shut down its bug bounty program after years of success• How valid reports dropped from 1-in-6 to 1-in-20• What “death by a thousand slops” actually looks like in practice• How AI is flooding programs with low-quality vulnerability reports• The difference between “theoretical” vs. exploitable vulnerabilities• Why reviewing findings is now harder than generating them• How HackerOne is responding to the surge in submissions• Whether AI can be used to filter AI-generated noise• The role of reproducibility and proof-of-impact in triage• Why human expertise still matters in vulnerability validationThis episode explores a critical shift in security operations: when vulnerability discovery becomes cheap and automated, validation and triage become the real bottleneck.⸻📚 Key Concepts & TopicsBug Bounty Programs & Triage• Submission quality vs. volume imbalance• Signal-to-noise challenges in vulnerability pipelines• The growing burden of manual validationAI in Vulnerability Discovery• Automated scanning vs. real exploitability• AI-generated findings and false positives• The “editor’s dilemma” — review vs. generationAI Security Risks• Lower barrier to entry for vulnerability discovery• Over-reliance on AI without domain expertise• Flooding systems with low-quality submissionsDefensive Strategy• Requiring reproducible steps and proof-of-impact• Using AI to pre-filter vulnerability reports• Combining human...","thumbnail_url":"https://img.transistorcdn.com/mN9_Xu9UJwoaajIvIvLd-Yygv-Vh_nJwEDItjPY09kA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYjBm/MzE1MWI2YmE4ZGJh/MDQ3MmJkMTkxZGNl/MjBjNS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}