In many cases, using agentic AI for incident response automation means sending infrastructure logs to frontier AI models. Every job failure log (complete with hostnames, IP addresses, and system topology) would leave infrastructure the moment it hit a large language model (LLM) endpoint, which would raise huge red flags for compliance teams in heavily regulated industries like financial services and healthcare.As an alternative, these organizations could use open source models hosted on their own infrastructure, addressing data residency and compliance problems. But are open source AI models g
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