Pinned
We are Irregular (Formerly Pattern Labs)
We’re building the first frontier AI security lab
Starting with defenses for the next generation of threats
Irregular
127 posts
- We’re happy to share that CyScenarioBench, our benchmark for offensive cyber operations, was used by @AnthropicAI to test Claude Mythos 5 and Claude Fable 5. Most current cybersecurity evaluations check isolated skills, such as vulnerability research or exploitation.
- The New York Times covered new research from the University of Toronto on AI-powered worms. Speaking to @nytimes, our CEO @dan_lahav highlighted the gap between lab demonstrations and real-world cyber impact: reliability, complexity, and defenses. At Irregular, we work on
- Honored to be the main sponsor of CyberML 2026, a leading technical conference dedicated to the intersection of cybersecurity and machine learning. Our co-founder and CTO, Omer Nevo, opens with the keynote "Artificial Attackers: Risks, Capabilities and Mitigations.” Swing by our
- Thrilled to be recognized in @Redpoint's 2026 InfraRed 100, highlighting 100 of the most promising private companies in AI infrastructure. This recognition is a powerful validation of our mission: to protect the world as AI systems become increasingly capable and sophisticated.
- Last week, Irregular brought together CISOs and CIOs from more than 20 Fortune 500 enterprises in New York for a closed-door workshop on AI security. The sessions mapped directly to what these executives are facing as agents move into production, informed by weeks of private
- Our CEO, @dan_lahav, spoke at @jpmorgan's Global Cyber Innovation Summit in NYC about cybersecurity in the era of frontier AI, exploring how AI systems fail and how to build trust where traditional security tools fall short. A timely conversation for a fast-moving field.
- We recently helped close a handful of zero-days in CUPS, the default printing system on most Linux distros. Our AI security eval system keeps surfacing real vulnerabilities, with similar findings in Soft Serve and QuickJS a few months ago. Responsibly disclosed
- We evaluated GPT-5.5 before release, testing cyber capabilities across our private benchmark suites. We found clear gains over GPT-5.4: stronger performance at lower costs. As models become more capable, understanding and reducing their security risks becomes increasingly
