DynamoGuard

What it does

DynamoGuard is a runtime AI guardrail product that enforces security, safety, and compliance controls on large language model (LLM) applications. It translates natural-language governance requirements into custom, low-latency guardrails that inspect prompts and model outputs in real time, blocking jailbreaks, prompt injection, personally identifiable information (PII) leakage, and toxic content across 15+ categories. Guardrails are trained with a synthetic-data methodology and run on CPU for on-device, browser-extension, or in-environment deployment.

How it works

Policies are authored in natural language and compiled into guardrail models that classify inputs and outputs against content, keyword, and regulatory rules, including EU AI Act criteria. The product pairs runtime enforcement with real-time hallucination detection and root-cause analysis, human-in-the-loop review, and observability that logs AI interactions for audit. Guardrails are continuously stress-tested against jailbreak and prompt-injection techniques through the companion DynamoEval red-teaming module. CPU-based inference lets the guardrails deploy as a browser extension, inside a customer virtual private cloud, or fully on-premises, so sensitive data never leaves the customer environment.

Credentials and traction

DynamoGuard maintains SOC 2 and ISO 27001 security certifications. Named enterprise deployments include Qualcomm, Intel, Lenovo, and Experian, with Intel embedding the guardrails into consumer AI PCs and Itochu Techno-Solutions applying them to strengthen generative AI compliance for financial institutions. The platform targets regulated industries including financial services, insurance, payments, and semiconductors, and counts the U.S. Army among its published government users.