Irregular Secures $80 Million for Frontier AI Model Development
On Wednesday, AI security firm Irregular announced it has secured $80 million in new funding, led by Sequoia Capital and Redpoint Ventures, with additional participation from Wiz CEO Assaf Rappaport. This funding round has reportedly valued the company at $450 million. Co-founder Dan Lahav emphasized the growing importance of human and AI interactions, suggesting that these dynamics could disrupt existing security frameworks.
Funding and Valuation
Irregular, formerly known as Pattern Labs, has emerged as a significant player in the field of AI evaluations. The recent funding will bolster its efforts to enhance security measures in the rapidly evolving AI landscape. The investment round, which raised $80 million, was spearheaded by prominent venture capital firms Sequoia Capital and Redpoint Ventures. A source familiar with the transaction indicated that this funding round has positioned Irregular with a valuation of $450 million. This financial backing will enable the company to expand its innovative security solutions, which are crucial as AI technologies continue to advance.
Innovative Security Solutions
Irregular has established itself as a leader in assessing AI vulnerabilities, with its work being referenced in security evaluations for models such as Claude 3.7 Sonnet and OpenAI’s o3 and o4-mini. The company has developed a framework known as SOLVE, which is widely adopted in the industry for scoring a model’s ability to detect vulnerabilities. While the company has made significant strides in identifying existing risks, its future ambitions focus on preemptively spotting emergent risks and behaviors before they manifest in real-world applications. To achieve this, Irregular has created complex simulated environments that allow for rigorous testing of AI models prior to their release.
Focus on Emerging Risks
Co-founder Omer Nevo highlighted the company’s innovative approach, stating, “We have complex network simulations where we have AI both taking the role of attacker and defender.” This method enables Irregular to evaluate the effectiveness of defenses against potential threats posed by new AI models. The increasing sophistication of AI technologies has raised security concerns across the industry, prompting companies like OpenAI to enhance their internal security protocols. As AI models become more adept at identifying software vulnerabilities, the implications for both attackers and defenders grow increasingly significant.
The Future of AI Security
The founders of Irregular recognize that the rapid advancements in large language models present ongoing security challenges. Lahav remarked, “If the goal of the frontier lab is to create increasingly more sophisticated and capable models, our goal is to secure these models.” He acknowledged that the evolving nature of AI technology means that there is still much work to be done in the realm of security. As the AI landscape continues to change, Irregular aims to stay ahead of potential threats, ensuring that the benefits of AI advancements do not come at the cost of security vulnerabilities.
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