Stack Shield is the runtime defense layer for production LLMs — blocking direct, indirect, and multi-turn injection with the lowest false-positive rate in the category.
One model checking another model is brittle. Stack Shield stacks structural, semantic, and behavioral signals.
Detect role manipulation, delimiter injection, and template escapes at the parse layer — before any LLM sees the prompt.
Ensemble of fine-tuned detectors for known attack patterns: DAN, AIM, payload smuggling, encoding tricks.
Session-level detection of slow-rolling injection: instructions accumulating across turns to override the system prompt.
Tool outputs, retrieved documents, and web pages scanned for injection content before they reach the model.
Threat intel feed pushed weekly. New attack patterns deployed without redeploying your app.
Every block recorded with attack class, signal trace, and reproducible payload — no opaque AI verdicts.
Straightforward answers about scope, integration, data handling, and rollout.
We benchmark publicly — see our /research page. PromptShield ships with a higher precision floor and lower P99 latency, plus first-party indirect injection coverage.
SaaS, dedicated VPC, or fully on-prem. The detection models are quantized and ship as a 4GB container.
Yes. All 10 categories covered with mappable policies. We publish the mapping in our trust center.
Shadow mode for 30 days collects your false-positive corpus. We publish per-policy precision/recall against it before you go live.