Frontier-model security lab, formerly Pattern Labs, that stress-tests foundation models for cyber-misuse potential and resilience under attack, working directly with leading AI labs and government clients on pre-deployment evaluations.
Key Features
- Foundation model stress testing
- Malicious-misuse risk assessment
- Cyberattack resilience analysis
- Pre-deployment security evaluation
- Vulnerability discovery and defense recommendations
Pros
- Focused on frontier-model security
- Experienced working with governments and top labs
- Provides comprehensive pre-deployment protection
Cons
- High service barrier, not open to the general public
- Test details are limited by confidentiality agreements
Use Cases
- Pre-deployment security audits of AI models
- Assessing foundation models' defensive resilience
- AI risk control for government agencies
Editor's Note
As AI models grow ever more powerful, labs like Irregular that specialize in safeguarding model security will become an indispensable key player in the industry.
FAQ
Who are Irregular's main clients?
Its main clients are top AI labs, large foundation-model developers, and government agencies.
What is the focus of their testing?
The focus is on assessing a model's resilience under cyberattack and its potential risk of malicious misuse.
Why is pre-deployment testing needed?
Pre-deployment testing effectively finds weaknesses before an AI system launches, preventing the model from being used for cybercrime or causing social-safety risks.