<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>U-Rec Security Insights</title><description>Insights from U-Rec on AI agent and robotics safety, AI security research, development, and implementation.</description><link>https://u-rec.jp/</link><language>en</language><item><title>OpenAI&apos;s AI Standards Proposal: Four Questions for Companies</title><link>https://u-rec.jp/en/insights/openai-ai-standards/</link><guid isPermaLink="true">https://u-rec.jp/en/insights/openai-ai-standards/</guid><description>Four questions for AI deployment decisions, prompted by OpenAI&apos;s standards proposal. What evidence to keep for evaluations, approvals and incident reporting.</description><pubDate>Wed, 23 Sep 2026 16:33:00 GMT</pubDate><category>Guidance</category><category>AI governance</category><category>AI security</category><category>AI evaluation</category><category>Recursive self-improvement (RSI)</category><category>OpenAI</category></item><item><title>When AI Development Tools Become the Entry Point: Settings and Permissions to Review</title><link>https://u-rec.jp/en/insights/ai-coding-tools-supply-chain/</link><guid isPermaLink="true">https://u-rec.jp/en/insights/ai-coding-tools-supply-chain/</guid><description>Google&apos;s threat intelligence team reported attacks on AI coding assistants and MCP servers. What to check across external tools, credentials, and execution permissions in a development environment.</description><pubDate>Tue, 22 Sep 2026 11:54:36 GMT</pubDate><category>Threat Analysis</category><category>AI coding</category><category>MCP</category><category>Supply chain</category><category>Development environment security</category></item><item><title>Threat Analysis for AI Systems with Image Inputs</title><link>https://u-rec.jp/en/insights/image-injection/</link><guid isPermaLink="true">https://u-rec.jp/en/insights/image-injection/</guid><description>Adversarial inputs to image-recognition AI and image-borne prompt injection against multimodal AI: how they differ from ordinary variation, how to build a threat model, and what to measure.</description><pubDate>Tue, 22 Sep 2026 11:54:36 GMT</pubDate><category>Threat Analysis</category><category>Image recognition</category><category>Threat analysis</category><category>Multimodal AI</category><category>Adversarial inputs</category></item><item><title>Security Design for Physical AI</title><link>https://u-rec.jp/en/insights/physical-ai-security/</link><guid isPermaLink="true">https://u-rec.jp/en/insights/physical-ai-security/</guid><description>Safety and security for Physical AI: separating proposal, authorization, and execution, protecting ROS 2 communication, validating commands, and deciding fault responses at the design stage.</description><pubDate>Tue, 22 Sep 2026 11:54:36 GMT</pubDate><category>Research</category><category>Physical AI</category><category>Robotics</category><category>Security design</category><category>ROS 2</category></item><item><title>Audit Log Design for Robotics Systems</title><link>https://u-rec.jp/en/insights/ros2-audit-log/</link><guid isPermaLink="true">https://u-rec.jp/en/insights/ros2-audit-log/</guid><description>What a robotics audit log should record: how it differs from ROS 2 debug logs and rosbag, the fields linking decision, authorization, and execution, time and ordering, tamper detection, retention.</description><pubDate>Tue, 22 Sep 2026 11:54:36 GMT</pubDate><category>Engineering</category><category>Robotics</category><category>Audit logs</category><category>ROS 2</category><category>Observability</category></item><item><title>Assessing Person-Detector Misses: An AI Security Perspective</title><link>https://u-rec.jp/en/insights/mask-extent-texture-study/</link><guid isPermaLink="true">https://u-rec.jp/en/insights/mask-extent-texture-study/</guid><description>For teams deploying or improving person-detection systems. Our study measures public detectors&apos; detection rates on the same scenes under conditions that include textures built to suppress detection. We show how its method supports an AI security evaluation that grounds threat scoping, verification priorities, and countermeasure decisions in evidence.</description><pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate><category>Research</category><category>person detection</category><category>adversarial texture</category><category>AI security</category><category>digital compositing</category><category>evaluation methodology</category><category>robustness evaluation</category></item></channel></rss>