With cyber threats becoming more sophisticated each passing day, conventional security controls find it difficult to offer sufficient protection for organizational resources. This survey examines the revolutionary potential of Quantum Machine Learning (QML) in cybersecurity and how the intersection of quantum computing and machine learning technologies provides unprecedented capabilities in threat detection, encryption, and security protocol optimization. The survey examines the increased processing power, enhanced accuracy levels, and shortened response times realized through implementation of QML, as well as responding to the current issues in hardware constraints, integration challenges, and talent development. With comprehensive examination of real-world implementations and future outlooks, the survey illustrates how QML is transforming the field of cybersecurity and readying organizations for the quantum age of digital security.