AI Procurement Risk

AI procurement risk encompasses the governance challenges and compliance concerns that arise when organizations evaluate and acquire AI systems, tools, or services from external vendors. This includes assessing vendor security practices, model transparency, data handling procedures, and alignment with regulatory requirements before deployment. Enterprise teams must address these risks during vendor selection to prevent downstream issues with model performance, data protection violations, or exposure to systems that lack proper governance controls.

1 item

ResearchGlobal2026-09-02

215,000 Fake AI Buying Guides Are Poisoning RAG Procurement Pipelines

Trellner Research found that three coordinated websites published over 215,000 machine-generated software recommendation pages designed to be retrieved by AI systems rather than read by humans. Testing across 380 software categories showed that 59.8% of citations returned by Perplexity pointed to domains outside the top 100,000 most-visited websites. The findings expose a direct integrity risk in any enterprise workflow that uses AI-grounded search to inform vendor selection or procurement research.

Perplexity RAG integrity AI sourcing transparency grounding manipulation AI procurement risk retrieval-augmented generation vendor due diligence