LLM Infrastructure

LLM infrastructure refers to the servers, cloud services, model-serving platforms, vector databases, and orchestration tools that companies use to run large language models (AI systems trained on large volumes of text to generate and interpret language) in their own products and operations. For governance teams, this layer matters because it is where data is stored, processed, and logged, and where access controls, vendor contracts, and uptime commitments actually take effect. Weaknesses in this stack can expose sensitive prompts and outputs, create hidden data-residency problems, or leave a business dependent on a single provider it cannot easily replace.

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Corporate PolicyGlobal2026-10-22

LiteLLM Compromise Drained AI Provider Keys and Cloud Secrets From Proxy Installs

A malicious version of LiteLLM (1.107.0) was published to PyPI on October 21, 2026. LiteLLM routes traffic between enterprise applications and AI providers. The tampered release silently collected and sent AI provider credentials, cloud access keys, SSH keys, pipeline secrets, and browser passwords to an attacker-controlled server. All seven platform variants of the package were affected.

supply chain attack LiteLLM credential theft AI tooling security LLM infrastructure PyPI AI provider keys