The current state of digital security highlights the gap between how organizations defend their digital ecosystems and how attackers operate. While organizations focus on securing priority assets, unknown or un-prioritized assets become vulnerable to exploitation by hackers. Automated discovery tools are being used to identify these vulnerabilities, but they face challenges such as lag time, limitations in applying logic and learning frameworks, inability to make logical pivots, verification of accuracy, and prioritization of discovered assets. Moreover, attackers use similar scanning technologies, creating a disadvantage for defenders. To fill this gap, organizations should consider crowdsourced security solutions that combine the scale of scanners with human ingenuity to find, validate, and prioritize assets before malicious attacks.