Young adults aged between 18 and 30 are likely to encounter increasing cyber threats. Understanding the cybersecurity behaviors of young adults, and identifying the measures and factors that can help reduce cyber threats is thus crucial. Since the existing studies have not sufficiently explored these factors, this study adopted a socio-behavioral perspective. It employed the primary constructs of the theory of planned behavior (TPB) with other factors, including perceived awareness and knowledge of cyber threats, to predict young adults' behavioral intent to practice cybersecurity behaviors. Data were collected from a random sample of 1581 young adults studying at Technical and Vocational Training Corporation (TVTC) colleges in Saudi Arabia through an online survey and were analyzed using the least-squares partial structural equation modeling (SEM).