The down fall of bug bounties (shubs.io)

The rise of AI in security research is significantly impacting bug bounty programs, leading to a marked decrease in the quality of reports submitted. As highlighted in a recent blog by researcher Kabir Acharya, AI's capacity to solve Capture The Flag (CTF) challenges and generate seemingly credible vulnerability reports has resulted in an influx of less meaningful submissions, often labeled as "AI-assisted." This trend threatens to dilute the value of high-quality submissions from skilled researchers, as platforms struggle with the increased volume of low-value reports, ultimately slowing response times and diminishing the engagement of top talent in the bug bounty arena. Platforms like HackerOne and Bugcrowd are attempting to adapt by deploying AI solutions to combat spam and enhance report validation, but many experienced researchers report feeling undervalued and frustrated with the process. The community is witnessing a shift where talented individuals are opting to focus on solid programs that maintain quality or pursuing personal projects instead of engaging with platforms that fail to differentiate between credible submissions and AI-generated noise. This evolution poses challenges not just to individual researchers but also to the foundational principles of bug bounty programs, as they risk alienating the very professionals who drive innovation and security in the tech landscape.