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Trace Integrity for LLM Data Agents: A Vision for Auditable Structured Reasoning in Real-World Systems

Answer accuracy is an insufficient reliability signal for LLM data agents. In structured-data tasks, a benchmark-correct answer can be produced by an invalid trace. This paper introduces Trace Integrity, a deployment reliability criterion for evaluating whether the computation recorded behind an answer is explicit, executable, schema-valid, operator-faithful, replayable, answer-consistent, and…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

Read the original at arxiv.org →

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Every Layer of Your AI Stack Is an Attack Vector. Count Them.

From the team at Backboard.io . We build AI infrastructure, so we have a position here. We state it at the end, clearly labeled. Everything before that is just counting.

  • AI stack comprises 6-9 vendors, each adding 5+ attack surface factors
  • Attack surface includes model, data, and integration layers
  • Vector databases often overlooked, but vulnerable to embedding inversion attacks

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