AI Security Firm Irregular Raises $80 Million in New Funding Round
Key Points
- Irregular raised $80 million in a funding round led by Sequoia Capital and Redpoint Ventures.
- Wiz CEO Assaf Rappaport participated in the round, valuing the company at $450 million.
- The company, formerly Pattern Labs, is known for its SOLVE framework used in AI security evaluations.
- Irregular’s simulations pit AI agents as attackers and defenders to test model robustness.
- Its work is referenced in security assessments for models like Claude 3.7 Sonnet and OpenAI’s upcoming releases.
- Co‑founders Dan Lahav and Omer Nevo emphasize the growing need for AI‑focused security as models become more capable.
- The funding will support efforts to detect emergent risks before they manifest in real‑world applications.
Irregular, an AI security company formerly known as Pattern Labs, announced an $80 million funding round led by Sequoia Capital and Redpoint Ventures, with participation from Wiz CEO Assaf Rappaport. The capital values the firm at $450 million and will support its work securing frontier AI models, including building simulated environments to test emerging risks. Co‑founders Dan Lahav and Omer Nevo emphasized the growing need for robust defenses as large language models become more capable, citing the company's SOLVE framework and its role in evaluating models like Claude 3.7 Sonnet and OpenAI's upcoming releases.
Funding Round Highlights
Irregular disclosed an $80 million financing round that was led by Sequoia Capital and Redpoint Ventures. Wiz CEO Assaf Rappaport also participated in the round, which values the company at $450 million. The investment is intended to expand Irregular’s capabilities in identifying and mitigating emergent risks associated with frontier AI models before they appear in real‑world deployments.
Company Evolution and Core Technology
Formerly operating as Pattern Labs, Irregular has become a prominent player in AI security evaluations. Its work is cited in security assessments for models such as Claude 3.7 Sonnet and OpenAI’s upcoming releases, including the o3 and o4‑mini models. Central to Irregular’s offering is the SOLVE framework, a scoring system that measures a model’s ability to detect vulnerabilities. The company also runs elaborate simulated network environments where AI agents act as both attackers and defenders, allowing the team to observe where defenses succeed or fail when new models are introduced.
Industry Context and Outlook
Co‑founder Dan Lahav noted that the coming wave of economic activity will revolve around human‑on‑AI and AI‑on‑AI interactions, which will stress existing security stacks. Co‑founder Omer Nevo added that Irregular’s simulations enable intensive testing of models before they are released, providing insight into potential security gaps. This focus aligns with broader industry movements, as major AI firms have upgraded internal security measures to guard against corporate espionage and the increasing ability of AI models to discover software vulnerabilities. The funding round positions Irregular to continue its mission of securing increasingly sophisticated frontier models, a challenge Lahav described as a “moving target” that will require ongoing effort.