<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Distributed-Systems on CuraSec</title><link>https://curasec.metacog.co.kr/tags/distributed-systems/</link><description>Recent content in Distributed-Systems on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 13 Jul 2026 14:30:14 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/distributed-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Proof-of-Continuity: Causal Authority Model for Distributed Systems and AI Agents</title><link>https://curasec.metacog.co.kr/insights/2026-07-13-proof-of-continuity-a-temporal-model-for-authority-propagati/</link><pubDate>Mon, 13 Jul 2026 14:30:14 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-07-13-proof-of-continuity-a-temporal-model-for-authority-propagati/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> This paper formalizes a causal authority-propagation model that prevents confused deputy attacks across service hops and AI agent tool-call chains — worth reviewing if designing multi-service or agentic authorization architectures, but requires no immediate change to running systems.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Introduces a theoretical framework for constraining authority in AI agent pipelines, relevant background for leaders developing governance policies around agentic AI deployments, but no near-term board or regulatory action is indicated.&lt;/li>
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