"On Wednesday, AI security firm Irregular announced $80 million in new funding in a round led by Sequoia Capital and Redpoint Ventures, with participation from Wiz CEO Assaf Rappaport. A source close to the deal said the round valued Irregular at $450 million. "Our view is that soon, a lot of economic activity is going to come from human-on-AI interaction and AI-on-AI interaction," co-founder Dan Lahav told TechCrunch, "and that's going to break the security stack along multiple points.""
"Formerly known as Pattern Labs, Irregular is already a significant player in AI evaluations. The company's work is cited in security evaluations for Claude 3.7 Sonnet as well as OpenAI's o3 and o4-mini models. More generally, the company's framework for scoring a model's vulnerability-detection ability ( dubbed SOLVE) is widely used within the industry."
"While Irregular has done significant work on models' existing risks, the company is fundraising with an eye towards something even more ambitious: spotting emergent risks and behaviors before they surface in the wild. The company has constructed an elaborate system of simulated environments, enabling intensive testing of a model before it is released. "We have complex network simulations where we have AI both taking the role of attacker and defender," says co-founder Omer Nevo. "So when a new model comes out, we can see where the defenses hold up and where they don't.""
Irregular announced $80 million in funding led by Sequoia Capital and Redpoint Ventures, valuing the company at $450 million. The firm provides AI model evaluations and its SOLVE framework is widely used to score vulnerability-detection capabilities across models. Irregular's evaluations appear in security analyses for models such as Claude 3.7 Sonnet and OpenAI's o3 and o4-mini. The company is building simulated environments that allow intensive pre-release testing, with AI agents acting as attackers and defenders to reveal where defenses fail. The fundraising aims to expand capabilities to detect emergent risks and behaviors before they appear in the wild.
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