AI Security Insights

Threat Research

Our own security models and the attack techniques behind them: benchmarks, training decisions and new classes of AI-driven malware.

5 articles

Our AI-Security Model Zoo Is Now Open Source

Threat Research · Jul 21, 2026 · 7 min · Read →

Orca-Sonar: Our Multilingual Document Classifier for AI Security

We're releasing Orca-Sonar, a fast, multilingual model (German + English) that sorts text into 7 topic classes. It's part of the Patronus Protect stack and routes incoming content by topic and sensitivity before it reaches an LLM, a DLP gate, or a storage tier.

Threat Research · Jun 12, 2026 · 8 min · Read →

When Malware Starts to Think: Why AI-Driven Worms Require a New Security Layer

A new research paper shows how AI agents can turn traditional computer worms into adaptive, self-replicating attack systems. Instead of following a fixed exploit chain, these worms can reason, use tools, learn from failed attempts, and spread across networks by using compromised compute. This shift makes AI runtime security essential, and shows why Patronus Protect is built for the next generation of AI-driven malware.

Threat Research · Jun 9, 2026 · 6 min · Read →

New AI-Security Model: Wolf Defender

Threat Research · Apr 15, 2026 · 3 min · Read →

Today we’re releasing our first security model: Wolf Defender

Threat Research · Mar 18, 2026 · 5 min · Read →