We Don’t Just Probe Outputs.
We Break Reasoning.
Julian is an autonomous red teaming platform for AI systems. Our agents simulate adversarial behavior to evaluate your LLMs, AI agents, and autonomous applications — uncovering security vulnerabilities, reasoning flaws, emergent behavior, and compliance risks before they become real-world failures.
Get InvolvedManifesto: The Code of Digital Consciousness
In an age of autonomous intelligence, the real threat surface isn’t code or infrastructure — it’s cognition. Julian interrogates your models’ decision-making, language boundaries, and learned behaviors to surface failures in logic, trust, and control before they reach production.
Autonomous Agents for AI Risk Discovery
Julian deploys a network of adversarial agents that continuously probe and analyze AI systems. From prompt injection to multi-step logic flaws, our platform helps developers, researchers, and red teams identify vulnerabilities before they become exploits.
Adversarial Prompt Generation
Julian crafts jailbreaks, bypasses, injection attacks, and context subversions — testing your models under realistic, high-pressure threat simulations.
Reasoning & Behavior Analysis
Our agents examine model behavior over time — detecting hallucinations, misalignment, unsafe generalizations, and flawed decision policies across dynamic scenarios.
Structured Threat Reports
Each test outputs a clear vulnerability report, ranked by severity and risk type — with exportable insights to support hardening, monitoring, and compliance workflows.