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VicOne reports 28 AI‑discovered zero‑day vulnerabilities in robotics tools

VicOne used AI‑assisted research to uncover an initial set of 28 zero‑day findings across software and tools that support the physical‑AI ecosystem, including projects from Google, NVIDIA and Meta. The company says all 28 are classified as zero‑day vulnerabilities, though the count could change after vendor and authority review and some lack CVE numbers.

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Key points

  • VicOne identified 28 zero‑day vulnerabilities in robotics software using AI‑assisted research
  • Findings affect development, simulation and deployment stages, potentially altering models, test results and robot control
  • A demonstrated exploit disables a robot’s remote‑stop command, highlighting verification needs after patches

The weaknesses span the robotics lifecycle—development and training, simulation and validation, and deployment and runtime. A compromised pretrained model could alter training data, a tampered simulation could give false test results, and a runtime exploit could disrupt motion planning or operator visibility. VicOne demonstrated a vulnerability that disables a robot’s remote‑stop command, underscoring the need to verify safeguards after a fix.

Teams are urged to map affected software, assess potential impacts on models, tests and robot behavior, and confirm that patches preserve intended operation. Faster AI‑driven discovery shortens the window for response, making proactive security testing and coordinated disclosure essential for robot safety.

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Full story from The Robot Report · by Sponsored ContentOpen source ↗

28 Zero-Day Findings in Less Than Two Days: What AI-Speed Discovery Means for Robotics

The Robot Report · 1 November 2026

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This text was published by The Robot Report and written by Sponsored Content. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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