The article “Hacking for Good: Leveraging HackerOne Data to Develop an Economic Model of Bug Bounties” by Kiran Sridhar and Ming Ng (2021) provides an insightful look at how bug bounty policies function within both economic and social science frameworks. Bug bounty policies function within both economic and social science frameworks. Bug bounty programs invite ethical hackers to identify and report vulnerabilities in a companies cyber infrastructure in exchange for monetary rewards. These programs reflect a cost-benefit approach to cybersecurity policy, as organizations must weigh the costs of running a bounty program against the benefits of discovering and fixing vulnerabilities before they can be exploited. In the literature review, the authors explain that while financial rewards are an important motivator for participants, non-monetary factors, like reputation, challenge, and community recognition play a significant role in why individuals participate. They also discuss how firm characteristics such as company size or industry, and program design can influence the number and quality of vulnerability reports. Interestingly, the review highlights gaps in research, especially regarding how sensitive hacker participation is to reward levels and how effective bug bounty programs are compared to traditional security investments. The findings section offers several key insights. Using HackerOne data, the researchers found that increasing bounty rewards only slightly affects the number of valid reports submitted. This means most ethical hackers are motivated by more than just money. They also found that company size and revenue did not strongly influence how many vulnerabilities were reported, suggesting that smaller companies can still benefit significantly from bug bounty programs. Another important finding was that older programs tend to yield fewer new vulnerabilities over time, indicating diminishing returns as easier bugs are discovered early. Additionally, there was little evidence that new firms entering the platform reduced the effectiveness of existing programs, meaning the ecosystem can expand without harming older participants. From a policy perspective, these findings are very relevant. Because bug bounty participation is only weakly tied to monetary incentives, companies may want to focus on non-financial motivators such as recognition, learning opportunities, and strong community engagement. The fact that smaller firms perform similarly to large corporations also suggests that these programs could democratize cybersecurity by making high-level protection more accessible. However, the aging effect means organizations should periodically refresh their programs, expanding scope or updating systems to keep participants engaged. From a social science viewpoint, the research highlights that cybersecurity isn’t just an economic issue, it’s also social and behavioral. Ethical hackers are driven by a mix of values, curiosity, and community recognition, which means that successful cybersecurity policy needs to account for these human motivations as well as economic incentives. Overall, this study demonstrates that bug bounty policies are a cost-effective and inclusive way to enhance cybersecurity, but they must be carefully managed to sustain long-term value. Programs that recognize the social aspects of hacker motivation, alongside economic principles, are more likely to be successful.