The Security Standard
for AI Systems.
Why We Exist
Enterprises are deploying AI across critical workflows but lack any systematic way to monitor, audit, or secure these interactions. Prompt injection attacks go undetected. Sensitive data leaks through model boundaries. Compliance with the EU AI Act becomes impossible without observability.
Existing solutions are cloud-dependent and platform-specific. Patronus is different: a model-agnostic, device-local AI security layer that works across every tool, every model, and every deployment - without sending a single byte to the cloud.
Realtime
processing
25,000+
model downloads on Hugging Face
100%
on-device architecture
The Team
Three founders. One obsession.

CEO: Product, AI Direction & Research
Dominik Hommer
Dominik shapes how Patronus reaches the world. He leads the product externally, translating deep AI security technology into something enterprises can understand and deploy. He bridges the technical and commercial sides of the company, and contributes to the team's applied ML and AI research direction.
Traction & Credentials
25,000+ downloads
Across all Patronus models on Hugging Face; Wolf Defender alone sees 5,000+ per month and outperforms ProtectAI benchmarks
Open-source stack
Patronus Ark and six model collections, public on GitHub and Hugging Face
RCAI AI Day 2026
Applied AI security research, presented at OTH Regensburg AI Day
Enterprise-grade
Deployment architecture validated for regulated, air-gapped environments

