LATIDIA · Ciberseguridad

PAPC: Mediación de plataforma para externalidades de privacidad y propagación en flujos de trabajo mediados por IA

arXiv: 2609.19226v1Tipo de anuncio: nuevo Resumen: las plataformas mediadas por IA coordinan el trabajo a través de agentes de LLM que actúan para diferentes directores. En estos flujos de trabajo, se puede crear una pérdida de privacidad antes de que aparezca una respuesta final: a m

La noticia

arXiv:2609.19226v1 Announce Type: new Abstract: AI-mediated platforms coordinate work through LLM agents acting for different principals. In these workflows, privacy loss can be created before a final answer appears: a memory write, shared-workspace update, inter-agent message, or tool event may impose downstream exposure cost on another principal. We model this failure mode as a privacy-propagation externality, where the cost of a raw disclosure depends on topology and fanout as well as content. We present PAPC, a platform-mediated mechanism that intercepts information-moving events before they update shared state or external channels. PAPC combines policy, provenance, topology/fanout, privilege, and content signals to allow an event, release a policy-safe abstraction, quarantine raw content,