Data Science

Corvus was founded on the idea that we can make commercial insurance smarter by finding new and unique sources of data to predict and prevent claims. We analyze the data with advanced techniques like machine learning and AI to drive tools and predictive models that both improve underwriting and help brokers and policyholders better understand and mitigate risk.

[DIAGRAM] Corvus Data Science Visual

New Sources of Data

Your insights are only as good as your raw material – the data. Traditional insurance relies on familiar sets of data, decade after decade. At Corvus, we’re constantly finding novel sources of data to improve our tools and models.

Putting Data to Work

Data science techniques like AI and machine learning get a lot of buzz. Smart companies put them to work. Corvus continuously incorporates the findings of our Data Science team into our product experiences and underwriting guidelines.

Digestible Info

Risk is complicated. Helping brokers and policyholders understand what data science tells us about their risk profile is an important part of the Corvus approach. We provide easy-to-read reports to help manage risk.

Continuous Monitoring

Modeling risk is the cornerstone of underwriting. Our data science team is continuously updating and improving models to identify emerging risks and offer better pricing and coverage options

Dynamic Loss Prevention®

With differentiated data, we create differentiated tools.

Our Dynamic Loss Prevention (DLP) program breaks down the complex world of cyber risk and ensures brokers and policyholders are empowered with actionable insights from our AI and machine learning analysis.


[ANIMATION] Corvus Dynamic Loss Prevention Score

Corvus Scan and Smart Cyber Score

One component of the DLP Report is the Corvus Score, our holistic measure of a company’s IT security. It is a weighted aggregate of eight security measures driven by the Corvus Scan, our proprietary, non-invasive IT scan. The score forms a key component in our underwriting process, enabling customized price and coverage options for brokers.

READ MORE ABOUT THE CORVUS SCAN AND SCORE


[ANIMATION] Corvus Risk Exposures Scores

Cyber Risk Exposure Groups

The Corvus Scan identifies vulnerabilities that fall into eight categories. Those risk exposures groups map to your clients’ insurance coverage, with some overlapping relationships. It gets complicated. That’s why In our DLP report you’ll see cyber risk exposures mapped to the insurance coverages you’re familiar with. You’ll also find materials that will help you understand the relationship between cyber risk and coverage.

READ MORE ABOUT CYBER RISK EXPOSURE


[DIAGRAM] Corvus IT Security Recommendations

IT Security Recommendations

The DLP’s detailed full scan report features risk mitigation recommendations. The guidance is detailed enough for IT managers to take action right away to help your clients improve security and prevent claims. Recommendations are prioritized by their potential impact on overall security, so you’ll see the most critical gaps first.

LEARN MORE ABOUT RISK-PRIORITIZED RECOMMENDATIONS

[DIAGRAM] Dynamic Loss Prevention for Smart Cargo + Cyber Insurance

Dynamic Loss Prevention for Smart Cargo + Cyber Insurance

Billions of data points from sensors can provide a clearer view of patterns and trends in risk for losses due to temperature change in cargo shipments. Our Data Science team models cargo risk based on unique factors from new data sets.

LEARN MORE ABOUT SMART CARGO + CYBER INSURANCE

Powerful Data Science - Actionable Tools

What is Dynamic Loss Prevention?

And how can it help brokers win business?

Dynamic Loss Prevention Reports help brokers and policyholders better understand risk.

[DIAGRAM] Risk Exposures: Explained

Risk Exposures: Explained

Cyber risk is complex.

Corvus maps certain risk exposure groups to insurance coverages to form our Corvus Score and DLP Report.

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Keeping up with Cybercriminals: The Future of Online Threats

We’re all familiar with lifelong enemies Tom and Jerry. Under the spell of their natural instincts, they play predictable parts: cat chases mouse and mouse blows up cat. Tom is stubborn enough to go through physical torture to catch his prey, and Jerry is smart enough to escape an untimely demise. While threat actors aren’t carrying around mallets and cybersecurity experts don’t frequently reckon with barrels of dynamite, the continued battle between the two plays out in real life with tangible consequences. Threat actors seem nearly impervious to broad efforts to crack down, but a large and growing contingent of cybersecurity pros have proven that there is hope. 

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