Jon Laux’s Post

Today’s Marsh McLennan study confirms what we have been seeing in our client claims studies: CyberCube is a powerful tool in reducing claims. There may not be a line of P&C insurance with more data available to carriers than cyber. The challenge is prioritizing the right signals for underwriters to focus on. CyberCube curates those signals to drive better risk selection for carriers, which helps improve loss ratios. Check out the report to see the analytic lift CyberCube can provide your underwriters. Or reach out to us to enquire about how we can run a study on your claims to show the uplift that comes from using CyberCube in underwriting.

The proof is in the pudding... We've conducted numerous claims studies with clients, and this latest report with Marsh McLennan's Cyber Risk Intelligence Center once again demonstrates the power of CyberCube's signals and scores, and their correlation to cyber claims (not just incidents and events). As a former cyber underwriter, I've been extremely passionate about generating and developing appropriate insights for insurance carriers that: 1.) Are correlated to cyber claims (powerful) 2.) Tell me something I didn't know or corroborate what I do know (relevant) 3.) Will be adopted, used, and understood by underwriters in their workflow (impactful) This study, like many others we've seen our clients conduct, demonstrates how equipping cyber teams with right analytics that easily fit within your unique underwriting workflow is powerful, relevant and impactful. The proof is in the pudding... #CyberRisk #InsuranceInnovation #CyberDataConundrum #CyberUnderwriting

🚨 The report is out!! 🚨 A Marsh McLennan study confirms that CyberCube's analytics reduces loss ratio's with predictive insights. I have the privilege of working in Client Account Management here at CyberCube and seeing the benefits to our clients first hand. If you'd like to catch-up, I'd be very happy to walk through on how we are enabling faster, smarter underwriting decisions within the Cyber Insurance market! #cyberrisk #underwriting #cyberdata #cyberinsurance

CyberCube’s latest report, validated by Marsh McLennan’s study of 3,700 policies, highlights the transformative power of predictive cyber risk analytics. With key risk factors like the CyberCube Combined Score showing strong correlations with incidents such as data breaches and ransomware, this report underscores the importance of curated data for effective underwriting and risk management. By leveraging these insights, insurers can enhance their risk assessment capabilities, optimize pricing strategies, and improve loss ratios. Learn more about how advanced analytics can drive better decision-making and profitability in the evolving cyber insurance landscape - https://hubs.ly/Q02X0xLG0 #Underwriting #CyberInsurance

Our latest report focuses on Marsh McLennan’s study, which confirms what we have been seeing in our client claims studies: CyberCube is a powerful tool in reducing claims. It was a pleasure to work with the team on this analysis. Check out the report to see the analytic lift CyberCube can provide your underwriters. Or reach out to us to enquire about how we can run a study on your claims to show the uplift that comes from using CyberCube in underwriting.

BREAKING NEWS: Marsh - CyberCube Risk Signal Report is out!!   CyberCube is probably most well-known for our Catastrophe Model and our extremely good-looking and funny Account Management team. BUT increasingly our underwriting solutions are also making waves! After working with Scott Stransky, Rush Kirubi and the team at Marsh over the last 6 months we are very excited to show how powerful some of our risk signals are. This report feels like the culmination of several years of vision and execution by our exceptional team so well done to all involved. Since the beginning of the year, we have been conducting claims studies with clients using our new data and methodology with impressive results. It's exciting to finally share our findings publicly!   Key findings: - Against the marsh dataset our strongest signal showed almost -0.5 correlation - Another 6 signals are stronger than -0.2 correlation - CyberCube scores also show strong results!   Key Takeaways - Different portfolios we have worked on have different signals that pop - different portfolios have unique characteristics - CyberCube clients are using a combination of our scores, signals and our financial loss model to build underwriting processes and guidelines enabling underwriters to assess risk and make better decisions. All linked with a consistent view of risk to our industry-leading catastrophe model.   If you are a (Re)Insurance underwriting leader focused on risk selection, pricing, coverage and capital efficiency we should talk! We are building solutions to help you succeed despite the current market pressures. If you are attending Zywave tomorrow and want to chat, let me know as I still have some open slots. #cyberinsurance #cyberunderwriting #analytics #data #cybermodelling

Whether at the point of underwriting, proactive portfolio management, or when evaluating cedant portfolios for reinsurance, having the right data is paramount to achieving higher profit margins. Our latest study with Marsh McLennan identifies the key signals most correlated with #cyberinsurance claims. Discerning underwriting must be paired with impactful data to round out the risk evaluation process. Learn more about the study below;

In a battle against cyber threats, data matters! Marsh McLennan's study confirms that CyberCube's analytics reduce loss ratios with predictive insights and our curated signals are transforming underwriting accuracy. Don't be part of the 5.37% of policies that experience cyber claims! Contact me to learn more about how CyberCube's analytics can help. #CyberInsurance #CyberRisk #RiskManagement

Do you need support on any of the below?   ✅ Pricing policies accurately ✅ Avoiding adverse selection ✅ Accessing transparent data   Reach out to KYND, the trailblazing cyber risk solutions provider dedicated to demystifying complex cyber risk analysis. They take the guesswork out of underwriting choices, identify vulnerabilities across your book and prospects, and give partners transparent, relevant, and actionable risk insights. Try their platform out for yourself here: https://lnkd.in/eP8xd8wr #ITCVegas

Cyber claims are evolving, thanks to our leading market share, we are able to mine meaningful claims data and sharing it with all. Will follow a webinar on Nordics lesson learned in November... watch this space! https://lnkd.in/dXiAHUkk