arXiv:2610.09012v1 Announce Type: new Abstract: Future generative patient digital twins may combine longitudinal health records with language-model agents and keep information across sessions. The wording of a proposed update does not reveal whether it comes from an allowed source, conflicts with the patient's record, or belongs to someone else.
TwinGuard-Lite: A Rule-Based State-Admission Gateway for Generative Patient Digital Twins
About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.09012
Source attribution: headline and facts are from arXiv cs.CR (arxiv.org). Summary method: excerpt of the source description. See our source attribution policy.
Related coverage
How to Turn AI Red Team Findings Into Runtime Controls
How AI red teaming, runtime guardrails, & continuous adversarial testing work together to identify vulnerabilities and protect your AI applications and agents.
Ted Schlein’s Ballistic Ventures seeks $490M for new funds amid AI-driven cybersecurity boom
Cybersecurity focused Ballistic Ventures is seeking to raise $360 million for a new flagship fund and another $130 million for a separate investment vehicle.
WorkOS says attacker used ARTEX AI to breach internal sales app
Developer platform WorkOS suffered a data breach after a threat actor accessed business contact records and summaries of customer communications.
A Defense Contractor Gave Their Personal AI Agent Access to a Secure Pentagon System
Vittoria Elliott reports: Earlier this year, sources tell WIRED, a contractor caused a security incident at the Department of Defense by connecting a secure centralized…
Apache Traffic Server: heap-buffer-overflow via HTTP Host header (unbounded alloca pattern, 5 sites) — 90-day disclosure
Posted by feng on Nov 03 Apache Traffic Server: heap-buffer-overflow via HTTP Host header (unbounded alloca pattern, 5 sites) — 90-day disclosure Reporter: Innora…
Google: LLMjacking attacks rack up $1 million in cloud AI charges
Large language model hijacking attacks, also known as LLMjacking, are generating large fraudulent cloud charges, with some organizations losing more than $100,000 per…