Cognitive Sovereignty: An AI-Aware Governance Framework for Neural Data Threats, Autonomous Cyber Defense, and Identity-Aware Security in Neurotechnology Systems

Autonomous intelligence in public trust: ethical frameworks for large language models in federal cybersecurity threat hunting

Trustworthy Agentic AI: A Comprehensive Cybersecurity and Systems Survey on Threat Landscapes, Defense Architectures, and Open Challenges

This survey systematically analyze threat surfaces across intra-execution loops and interaction planes, formulate a multi-layered zero-trust defense-in-depth architecture integrating Dual-LLM isolation, Capability-Based Access Control, kernel eBPF probes, and sandboxed runtimes, and map technical controls to internatio...

From neural signal to cognitive inference: Legal, ethical, and governance implications of machine learning in neurodata - a case study of cognitive state detection

This paper examines the legal, ethical, and governance implications of Machine Learning (ML) systems applied to neural data, with a particular focus on the emerging capacity to infer cognitive states from brain signals. While advances in neurotechnology are often framed within clinical and therapeutic contexts, the inc...

The post-necessary human: artificial intelligence, societal security, and cognitive governance

Artificial intelligence, digital infrastructures, and data-driven systems are reshaping not only strategic capabilities but also the cognitive, motivational, and identity-related conditions that contribute to social cohesion and societal resilience. The post-necessary human is introduced as an analytical construct...

When the Brain Becomes Cloud: Posthumanism and the End of Mental Privacy

Recent advances in brain-computer interfaces (BCIs), artificial intelligence, and cloud computing have intensified debates concerning the protection of mental privacy and the adequacy of existing legal and ethical frameworks. As neurotechnologies increasingly enable the recording, interpretation, and potential modulati...

NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces

This work introduces the NERVE Attacks class, a systematic characterisation of five orthogonal attack dimensions that together span the complete BCI stack and presents EEGle, an AI-assisted extensible framework for systematic BCI security analysis.