Luis Cosio
Hardening frontier AI systems against nation-state adversaries and loss-of-control failure modes.
I work at the intersection of frontier AI and high-security systems. My focus is turning abstract safety and security requirements into deployable technical artifacts that can withstand real adversaries, from nation-state attacks to loss-of-control scenarios.
Focus Areas
- Frontier AI Security (SL5): Securing model weights, inference systems, and lab infrastructure against nation-state threats and loss-of-control failure modes.
- AI Alignment and Interpretability: Mechanistic interpretability, scalable oversight, and monitoring-based interventions.
- Security Engineering: Air-gapped deployments, attack surface minimization, and high-assurance runtime design.
Blog
January 25, 2026
μInference: From Minimal Stack to SL5 Weight Enclave
Radically minimized inference with seL4-backed weight protection.
January 25, 2026
OpenWild
A new conversational dataset for modern language models.
January 15, 2025
Mechanistic Watchdog
Real-time cognitive interdiction for LLMs.
All posts →
Selected Work
- Security Level 5 Task Force - SL5 security artifacts for frontier AI systems
- MechWatch - 1st place, Defensive Acceleration Hackathon
- SPAR Mentor - Mentoring researchers starting careers in AI safety and alignment
- Algoverse Mentor - Guiding student research teams in AI safety
Background
Mexico City based technologist with 15 years across cloud, cybersecurity, and AI. Currently working full-time on AI safety and security.