{
  "id": 3013,
  "url": "https://arxiv.org/abs/2607.10451v1",
  "title": "Threat Vectors and the State of the Art in Defense Methods for Security in Neurotechnology",
  "summary": "Brain-computer interfaces (BCIs) are a class of diverse hardware modalities, associated software, and connected devices which are widely used in a variety of fields, including neurosurgery, biomedical data analysis, and neuroimaging. Recent years have seen rapid advancements in BCI technology, and neurotechnology more broadly, with the first devices now passing clinical trials, early examples of consumer hardware entering the market, and many variants of consumer and medical hardware with increa",
  "authors": "Bryce-Allen Bagley, Nathaniel Rose, Quintus Kilbourn, Matthew Canham",
  "category": "research",
  "topics": "healthcare,military-security",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-11T19:28:34.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-arxiv-cs-cr-ai-security",
  "source_name": "arXiv cs.CR (AI security)",
  "source_homepage": "https://arxiv.org/list/cs.CR/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/3013",
  "original_url": "https://arxiv.org/abs/2607.10451v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}