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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. TL;DR A typical production AI application runs on 6 to 9 separate vendors: a model gateway, a vector database, a memory service, a RAG framework, an embedding provider…

  • 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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