paperMay 2026Unreviewed

The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane

Tyler Akidau, Tyler Rockwood, Johannes Brüderl, Marc Millstone

Abstract

AI agents are increasingly expected to operate as digital employees: accessing enterprise data, making decisions, and taking actions autonomously. But agents are simultaneously less predictable than humans -- prone to hallucination, misinterpretation, and adversarial manipulation -- and more technically capable: with deep system knowledge and high-throughput interfaces cascading damage at machine speed. This combination makes it unsafe to rely on agents to faithfully interpret or propagate secur

Cite

@misc{akidau2026importance,
  title = {{The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane}},
  author = {Tyler Akidau and Tyler Rockwood and Johannes Brüderl and Marc Millstone},
  year = {2026},
  month = may,
  eprint = {2605.29082},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.29082}
}