Runtime Defensefor Autonomous AI Agents
In private beta with enterprise clients
We've jailbroken every state-of-the-art LLM. AI agents now have authority over bank accounts, payment rails, and financial operations. We're building the security the industry forgot.
Open Source Research
Publishing our findings to secure the future of AI
Red-Teaming Agent
A comprehensive framework for LLM safety through adversarial prompt generation and automated evaluation.
Hack the AI
Multiple OptionsRed-Teaming game where users hack realistic multimodal agent systems with RAG, memory, and tool usage.
Stay Updated
Get the latest on AI security research and product updates
Hack the AI
Put your red teaming skills to the test
Prompt injections, jailbreaks, RAG attacks, and privilege escalation across difficulty levels. Help build the adversarial knowledge that secures AI systems at scale. Train.
Browser-based • Free to play
Our strongsuit
We Jailbreak Everything
We've cracked every state-of-the-art LLM. We understand the attack surface better than anyone.
Architectures, Not Just Guardrails
Just detection fails at scale. We build architectures that prevent risks using cryptographic proof of authorization.
Battle-Tested
We continuously validate our products through communities and ethical hacking of enterprise clients.
R&D
We are a team of engineers and researchers at the frontier of AI and cybersecurity progress. We are constanly prototyping and improving our products
Meet the Troublemakers
The rebels behind the code
Matteo Horváth
Engineer
Software builder and technical lead with core expertise in Computer Vision, optimization, and end-to-end automatization. Extensive experience across engineering and business roles.
János Mozer
Architect
Physics background with experience in developing error-proof systems for distributed, resilient architectures, guaranteeing high availability through secure protocols.
Péter Tallósy
ML Engineer
Physics-trained research engineer with deep expertise in ML/AI and strong full-stack software engineering capability. Experienced in building system spanning generative CAD, large-scale ML optimization, and ML-enabled infrastructure solutions.
Gregorio Jaca
Research Engineer
Physics and Biology background. Worked on simulations from fluid dynamics and rockets to network systems. Currently researching LLM dynamics and interpretability through the lens of chaos theory.
Get in Touch
We'd love to hear from you
For inquiries, bug reports, or collaboration, reach out:
- Email:janos.mozer@growmesh.io
- LinkedIn:GrowMesh.io
- Join our Discord