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Industry Averages
Don’t Tell
the Full Story
Every organization has a different cyber risk story. Yet many insurance decisions still lean on broad industry benchmarks that can’t show how an attack would unfold inside a specific business, what it would disrupt, or how large the loss could be.
Axio’s Risk-Modeling AI Engine turns the information you already have about a client into tailored, defensible scenarios that connect the attack, the impact, and the financial loss, the client-specific story industry averages can’t tell.
The same model works differently for brokers, underwriters, and the clients they serve.
For the Broker
Build a stronger risk narrative for your client, differentiate them in the market, and support more informed conversations around limits, coverage, and risk mitigation.
For the Underwriter
Evaluate the risk your client brings using more relevant scenarios and loss estimates, identify material exposures, challenge assumptions, and price coverage with greater confidence.
For Your Client
Give them a clearer picture of the cyber events that could materially affect their business, where losses could come from, and which risk improvements matter most.
Precision.
At the Speed
You Need.
● See Their Risk, Not the Industry’s
Company specific models, built in minutes, give you a quantified picture no generic benchmarking report can match.
● Skip the Questionnaire
A company name and its domain are all it takes. No lengthy client intake, no multi-week data-gathering cycle.
● Underwrite in the Format You Already Use
Tailored scenarios, insurability/severity reporting, and portfolio overlay delivered the way your underwriting and claims teams expect.
Everything the Underwriter Asks For
We don’t just estimate cyber risk, we build the underwriting package around it.
4-6 Tailored Risk Scenarios
Likelihood and financial impact specific to the business; not generic industry benchmarks.
Application and Supplemental Ingestion
Pulls directly from existing submissions and maturity supplements. No re-keying or manual processing.
Insurability Reporting
Mean, median, and tail-loss distributions delivered in Axio’s Insurability Report scope the appropriate limits and structure.
Exclusion Watch
Flags policy language (like CZ carve-outs) so you can spot coverage gaps that would leave modeled scenarios uncovered.
Built on Transparency
Every scenario is modeled on its own using loss percentiles, not reduced to a single score.
>85%
client satisfaction, with transparency cited as the #1 differentiator.
Severity
Loss percentiles show the full range of outcomes if an event occurs, broken out by physical damage and business interruption.
Grounded in Precedent
Every scenario is checked against real-world attack paths and observed losses, so the model reflects what’s actually happened, not just what’s theoretically possible.
Every Number Traces Back
Assumptions and loss drivers are visible and can be tuned collaboratively as new information comes in; never delivered as a fixed black box.
An Outside View, Built In
Grounded in Industry Data
Likelihood starts with empirical loss data, scoped to your industry and revenue band.
Sharpen Your Actual Posture
Incorporate other data you have available, such as maturity assessments, application data, and scoring scans, to refine the likelihood estimate.
OT-Aware for (CZ) Risk
For cyber-physical scenarios, operational technology threat intelligence adds a signal that generic IT scans miss.
Validated by the Market It Serves
Recognized by the industry’s leading awards, and backed by Lloyd’s of London’s own capital.
Industry Recognition
Intelligent Insurer Cyber Insurance Awards
Cyber Insurance Technology Provider of the Year, USA
Winner
Cyber Risk-Modelling Technology Provider of the Year, USA
Highly Commended
Cyber Risk-Modelling Technology Provider of the Year, Europe
Highly Commended
Cyber Insurance Technology Provider of the Year, Europe
Winner
Cyber Property Damage Product of the Year, Europe
Winner
Backed by Lloyd’s of London
Investment
Backed by Lloyd’s of London, one of the first two Lloyd’s Lab alumni to receive investment from Lloyd’s Central Fund, capital to advance cyber coverage solutions within the London market.
Collaboration
Lloyd’s Lab, Cohort 10, selected into Lloyd’s insurtech accelerator, where Axio piloted an extension helping syndicates develop coverage for cyber-physical damage exposure.
Before Axio, we struggled to explain these risks to clients. Now we can visualize them, quantify them, and turn uncertainty into actionable insight.
Senior Broker, Global Reinsurance Firm
Ready to model on a live scenario? We’ll show you a full model in minutes.
Related Content
Recap Blog: Cyber Risk in Wartime
Partnership: Axio Partners with Unison Risk Advisors
Webinar: Introduction to CRQ.AI