All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
Irregular runs offensive-cyber simulations on new AI models before they ship, and its assessments already appear in the published safety documentation for OpenAI's o3 and o4-mini and for Claude 3.7 Sonnet. The cited pages describe an actively deployed proprietary platform integrated with the labs' systems and delivering assessments, so a rival must reproduce both the platform and scarce offensive-AI talent to compete. The catch is customer concentration: the engagements are with frontier labs, and lab insourcing is a labeled risk rather than a documented plan. Press puts revenue in the millions, with the paying accounts unnamed. Sequoia and Redpoint led an $80 million round at a reported $450 million valuation. Its credibility and its concentration risk share one source: the frontier labs.
| Description | Irregular is a frontier AI security research lab that runs controlled simulations on advanced AI models to measure their offensive cyber capabilities before deployment, delivering findings as a service to AI labs. Its public surface is research, news, and careers, with no purchasable product. | [f1] |
|---|---|---|
| Founded | 2023 | [f2] |
| Funding | $80M total | [f3] |
| Latest funding | $80M round (2025) | [f2] |
| Product | What it does |
|---|---|
| AI Evaluation Platform | A proprietary platform and evaluation library Irregular operates in-house to test AI systems' offensive cyber capabilities and deliver findings to frontier labs. It is not sold or self-deployed. |
| SOLVE | A published framework for scoring how difficult a vulnerability-discovery and exploit-development challenge is, used to benchmark AI models. A research artifact, not a sold product. |
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score |
|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs, demos, and third-party validation. | 4/5 |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 |
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A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
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| Dimension | Score |
|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 2/3 |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 2/3 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | https://www.irregular.com/about | official | 2026-07-20 |
| f2 | citybiz: Irregular Raises $80 Million | press | 2026-06-24 |
| f3 | TechCrunch: Irregular raises $80M to secure frontier AI models | press | 2026-06-24 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Irregular: About “Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios.” | official | 2026-06-24 |
| s2 | Irregular: AI Evaluation Platform, Cyber Use-Case “Vulnerability Detection and Exploitation challenges require the AI system to identify and exploit security weaknesses. Evasion challenges require the AI system to perform tasks while avoiding detection by monitoring systems, such as endpoint detection and response (EDR) systems.” | official | 2026-06-24 |
| s3 | TechCrunch: Irregular raises $80M to secure frontier AI models “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.” | press | 2026-06-24 |
| s4 | TechCrunch: Irregular, formerly Pattern Labs, on SOLVE and model 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.” | press | 2026-06-24 |
| s5 | citybiz: Irregular Raises $80 Million “Formerly known as Pattern Labs, Irregular has reached millions in annual revenue. It works side by side with the world's leading AI labs like OpenAI and Anthropic to evaluate how next generation AI models may themselves carry out real world threats.” | press | 2026-06-24 |
| s6 | TechCrunch: Irregular co-founder Omer Nevo on simulated environments “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.” | press | 2026-06-24 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Irregular: About “Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios.” | official | 2026-07-08 |
| s2 | Irregular: AI Evaluation Platform, Cyber Use-Case (delivery) “The findings from Irregular's Evaluation Platform are already being used, at scale, by leading frontier AI labs to analyze their AI systems, and subsequently progress the field of AI Security significantly.” | official | 2026-07-08 |
| s3 | Irregular: AI Evaluation Platform, Cyber Use-Case (challenge types) “Vulnerability Detection and Exploitation challenges require the AI system to identify and exploit security weaknesses. Evasion challenges require the AI system to perform tasks while avoiding detection by monitoring systems, such as endpoint detection and response (EDR) systems.” | official | 2026-07-08 |
| s4 | Irregular: Introducing SOLVE “At Irregular, we evaluate dangerous cyber capabilities of AI, and as part of our evaluations, we take into account the difficulty of vulnerability and exploitation tasks in order to quantify the skill level demonstrated by an AI when given cyber challenges.” | official | 2026-07-08 |
| s5 | TechCrunch: Irregular raises $80M to secure frontier AI models “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.” | press | 2026-07-08 |
| s6 | TechCrunch: Irregular work cited in model security 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.” | press | 2026-07-08 |
| s7 | TechCrunch: Irregular co-founder Omer Nevo on simulated environments “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.” | press | 2026-07-08 |
| s8 | citybiz: Irregular Raises $80 Million (syndicated company announcement) “Formerly known as Pattern Labs, Irregular has reached millions in annual revenue. It works side by side with the world's leading AI labs like OpenAI and Anthropic to evaluate how next generation AI models may themselves carry out real world threats.” | press | 2026-07-08 |
| s9 | Irregular attestation probe 2026-07-08 (trust and security subdomains, /security /trust /compliance, homepage): no SOC 2, ISO 27001, or trust portal “Frontier AI Security” | official | 2026-07-08 |
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