SiriusPoint

None of the warning signs we check for were found.

We look for five warning signs: doubt it can keep going, weak checks on its own accounts, a notice that its past accounts can't be relied on, a change of auditor, and one customer bringing in a big share of sales. We don't check lawsuits, investigations or debt yet.

We checked the auditor's report, internal controls, restatement notices, auditor changes and big customers in the 10-K filed 24 Feb 2026, plus the 10-Q filed 29 Jul 2026 and 6 later 8-Ks.

Cheap for a reason is the question the numbers cannot answer.

Whether the price already reflects the risks is what the deep dive is for.

• Operational, cybersecurity, technology-related, and artificial intelligence (“AI”) risks, including system failures, data breaches, ransomware attacks, supply chain compromises of third party service providers, failures or harmful outputs of AI models, or other business interruption events — including those resulting from malicious cyber-attacks on us or our business partners or service providers — could disrupt or otherwise negatively impact our business.

  Could happen

  A significant amount of communication between our employees and our business banking and investment partners depends on information technology and electronic data exchange. We also license certain systems, platforms, datasets and, increasingly AI-driven tools and models from third parties and rely on cloud-based infrastructure and externally hosted systems. We cannot be certain that we will maintain continued access to these systems, platforms, datasets or models, or that they will operate as intended. AI models may produce inaccurate, biased, or unpredictable outputs, may degrade over time, or may require retraining based on data we do not control. We also cannot guarantee that we could replace these tools without degrading operational performance or slowing our underwriting or claims response time. In addition, if we adopt an overly cautious approach in evaluating, updating, or integrating new technology or AI‑enabled systems, we may delay necessary improvements, prolong exposure to outdated or less secure systems, or impede operational efficiency, which could increase our vulnerability to cybersecurity incidents or other technology‑related failures.

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• Operational, cybersecurity, technology-related, and artificial intelligence (“AI”) risks, including system failures, data breaches, ransomware attacks, supply chain compromises of third party service providers, failures or harmful outputs of AI models, or other business interruption events — including those resulting from malicious cyber-attacks on us or our business partners or service providers — could disrupt or otherwise negatively impact our business.

  Could happen

  Like all companies, our information technology systems are susceptible to interruptions or failures related to events beyond our control, including natural disasters, terrorist attacks, third party service outages, and general technology failures. As AI technologies become more integrated into our operations, failures, errors or unexpected behavior in these systems could also disrupt key business processes. We believe that we have established and implemented appropriate security measures, controls, and procedures to safeguard our systems and periodically evaluate and test their adequacy, including through vulnerability assessments, penetration testing, and employee training. We also maintain business continuity and disaster recovery plans designed to support continued operations of key business processes during disruptive events, including disruptions arising from cybersecurity or AI-related incidents. Nonetheless, disruptions or breaches of our information technology and AI-enabled systems — whether at our Company or affecting our third party providers — remain possible and may negatively impact our business.

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• Recent or future U.S. federal or state legislation may impact the private catastrophe risk markets and reduce the demand for our property insurance and reinsurance products.

  Could happen

  In addition, worsening insurance‑market conditions—such as insurer withdrawals from high‑risk states and rising reinsurance costs—have contributed to renewed legislative momentum. These conditions, particularly in catastrophe‑exposed states such as California, Florida, Texas, and Louisiana, have prompted policymakers to consider federal or expanded state‑level mechanisms to stabilize property‑insurance markets. In California specifically, heightened wildfire risk, regulatory rate‑approval constraints, and increased insurer non‑renewals have led to extensive legislative and administrative activity aimed at maintaining residential‑property‑insurance availability. For example, the California Department of Insurance has advanced proposals that would expand the use of catastrophe‑modeling in rate filings while also conditioning such changes on insurers’ participation in writing coverage in designated wildfire‑exposed ZIP codes. California lawmakers and regulators have also considered or implemented revisions to the FAIR Plan’s structure, coverage obligations, and permissible rate levels. Any expansion of the FAIR Plan or imposition of mandatory‑writing or market‑stabilization requirements on private insurers could reduce demand for private reinsurance or alter the mix, pricing, or risk profile of the exposures we reinsure. Legislative or regulatory initiatives that constrain insurers’ ability to obtain actuarially adequate rates in California could also reduce private‑market capacity and further encourage public‑sector or quasi‑public alternatives, thereby limiting demand for our catastrophe‑exposed products in the state. Any such measures, if adopted, could reduce market share available to private insurers and reinsurers and adversely affect our ability to price or offer catastrophe‑exposed coverage profitably.

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• Operational, cybersecurity, technology-related, and artificial intelligence (“AI”) risks, including system failures, data breaches, ransomware attacks, supply chain compromises of third party service providers, failures or harmful outputs of AI models, or other business interruption events — including those resulting from malicious cyber-attacks on us or our business partners or service providers — could disrupt or otherwise negatively impact our business.

  Could happen

  It is possible that insurance policies we have in place with third parties would not fully protect us against losses arising from a breach, interruption, AI-driven system failure or widespread failure of our information technology systems. In the ordinary course of our business, we process personal information and personal health information in connection with claims made under our accident and health business, as well as other business lines. Any misuse, mishandling, or unauthorized disclosure of such information — whether by us, a policyholder, or a third party vendor -- could damage our business or reputation, result in significant monetary damages, regulatory enforcement actions, fines, or criminal prosecution which may not be fully covered by insurance. The use of AI tools may increase the risk of inadvertent data exposure, improper data ingestion, or unauthorized model training on sensitive information. Although we maintain privacy procedures and employee training programs intended to mitigate these risks, we may be unable to prevent unauthorized access to or disclosure of personal information in all cases.

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• Operational, cybersecurity, technology-related, and artificial intelligence (“AI”) risks, including system failures, data breaches, ransomware attacks, supply chain compromises of third party service providers, failures or harmful outputs of AI models, or other business interruption events — including those resulting from malicious cyber-attacks on us or our business partners or service providers — could disrupt or otherwise negatively impact our business.

  Could happen

  We are subject to evolving cybersecurity, data protection, and AI-related laws and regulations across the jurisdictions in which we operate. Regulatory expectations for cybersecurity governance, AI governance, reporting, and operational resilience continue to increase globally. Compliance with new or developing requirements — including AI model documentation, data governance controls, risk assessments, testing, third‑party oversight, breach notification, and incident response protocols — may increase our compliance costs and operational burdens. As our operations expand into additional jurisdictions and as the regulatory landscape for AI and automated decision-making evolves, we expect that our cybersecurity, data privacy, and AI compliance costs will continue to rise.

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