Enhancing Cyber Threat Detection with Neurotechnology
摘要
Chapter advocates for neurotechnology-enhanced threat detection as a necessary evolution beyond traditional cybersecurity defenses that have reached their limits against advanced threats. Using EEG, fMRI, MEG, and fNIRS technologies, neural-enhanced systems capture expert brain signatures including P300 event-related potentials, N400 responses, alpha suppression, beta increases, and gamma bursts. The technology transforms cybersecurity through humanmachine symbiosis combining AI speed with human judgment, delivers measurable ROI and provides strategic advantages as threats evolve at machine speed with increasing sophistication.