AI Procurement Security

Require detection test results and architecture audits before selecting a vendor.

Enterprises need separate security tests for each RAG pipeline stage.

Enterprises need a five-dimension rubric to evaluate indirect prompt injection defenses.

Buyers should score third-party LLM vendors on runtime monitoring depth, not static attestations.

Unified scoring bridges two frameworks that separately leave teams without a single risk assessment.

Enterprises need contractual visibility into the AI subprocessors handling their data.

Multimodal AI needs defense across image, audio, and text channels, not text alone.

Promptarmor leads on vendor ecosystem coverage, but monitoring alone doesn't block harm.

Continuous monitoring catches vendor AI risks that one-time assessments miss.