Researchers warn that rapid advances in neuroscience, pharmacology, and AI are bringing "brain weapons" out of science fiction and into real-world plausibility. They argue current arms treaties don't adequately cover these emerging tools and call for a new, proactive framework to prevent the weaponi...

Introduction: Brain-computer interfaces (BCIs), neuro-wearables, and AI-driven behavioral inference are transforming raw neural activity into a tradable commodity. As corporations and governments gain the ability to read emotions, attention patterns, and even subconscious intentions, the traditional cybersecurity paradigm must expand to include neurosecurity – the protection of cognitive data from unauthorized access and manipulation. Learning Objectives: Identify the three primary methods of brain data harvesting (direct neural signals, indirect behavioral inference, hybrid biometric systems)

Introduction: The intersection of artificial intelligence and neuroscience has birthed MANAS-1, a 400-million-parameter foundation model trained on 60,000 hours of raw EEG data. While its creators at NeuroDx celebrate this as a leap for sovereign AI and brain modeling, the cybersecurity community must scrutinize the implications of open-sourcing technology that can decode neural signals. As we enter the era of "Software 3.0," where algorithms think and evolve, the attack surface expands from data centers to the human mind itself, raising critical questions about neural data privacy, model poisoning, and the weaponization of thought patterns.

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