The DARPA succeeded to make a breakthrough in the Next-Generation Nonsurgical Neurotechnology (N3) program which entirely changed the cybersecurity situation. The program effectively tested its enabling technology in a wide variety of national security functions, including the control of unmanned air vehicles and active cyber defense systems, and operators working in conjunction with computer systems were able to multitask effectively on highly complex military operations. Damages could be traced in real-time in human minds as never before, with possibilities to mind over the ways human interactions to be manipulated as never before heard in the evolution of technology, as well as presenting entirely new levels of security risks never before seen. The uses go well beyond the military. In recent years, it has been shown that neural interfaces have potentially become an effective technology, not only enabling closed-loop neurorehabilitation but also intelligent human-machine interaction, and cybersecurity is one area that has formed as much of an accepted application area as it has become one of the most critical. The human brain with its 86 billion processing units lays down patterns as unique as fingerprints and has emerged as both a future frontier in cybersecurity enhancement and the latest battleground on which sophisticated threat actors abound. Technological convergence is taking place at a pivotal time. The military application of neurotechnologies like brain–computer interfaces (BCIs) holds potential benefits to improve decision-making speed, enhanced coordination, and soldier resilience, all of which are equally useful in commercial security applications. Nevertheless, fast growth and commercialization of this technology are associated with security risks as the attack of the brain–computer interface can bring terrible outcomes, even breaking into the sphere of human cognition and not only digital systems. Rewrite the abstract: Neurofeedback mechanisms work by training the brain to optimize specific brainwave patterns such as enhancing alpha waves for focus, modulating beta waves for active threat analysis, and optimizing theta waves for pattern recognition which can improve cognitive functions like attention span, stress management, and decision-making accuracy. These systems introduce interdependencies between human mental performance and system security, raising cybersecurity to a national security level. With advancements like EEG-based recognition systems offering highly accurate authentication and brain-state triggered security protocols, the future of cybersecurity lies in integrating human intuition with AI-driven systems. Organizations that adopt these technologies could significantly enhance threat detection and reduce costs, while those who don’t risk falling behind in a rapidly evolving landscape.