HoundShield scans each AI prompt in under 10 milliseconds. Detection runs locally across 16 engines, so there is no perceptible latency for users. The streamed AI response is also scanned token-by-token, so if a model begins emitting a credit-card or Social Security number mid-reply, the output is truncated before delivery.

Yes. Every scan decision is written to a tamper-evident audit trail secured with a SHA-256 hash chain, so records cannot be altered without detection. The logs map to NIST 800-171 controls and export as C3PAO-ready PDF evidence, giving assessors and auditors a defensible record of every AI interaction.

SPRS (Supplier Performance Risk System) scoring rates a contractor's NIST 800-171 implementation from -203 to +110. HoundShield automatically calculates your SPRS score across all 110 controls, shows which controls are met or missing, and produces the documentation you file in SPRS for a CMMC Level 2 self-assessment.

HoundShield works with any OpenAI-compatible API and routes approved traffic to over 800 models, including GPT, Claude, Gemini, and open-source models. Because it operates at the network proxy layer, you add new models without changing the compliance configuration or installing anything on user devices.