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
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.
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.
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.
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
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.
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.
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.
Risk Exposures: Explained
Cyber risk is complex.
Corvus maps certain risk exposure groups to insurance coverages to form our Corvus Score and DLP Report.
In the Binoculars: Lori Bailey, Chief Insurance Officer
We’re spreading our wings to welcome another new hire to Corvus, Lori Bailey! As our Chief Insurance Officer, she’ll be bringing her strategic vision and wealth of insurance knowledge to the team, having worked on both the carrier (Zurich & AIG) and broker side (Marsh). Most recently, she developed and implemented global underwriting strategies, governance and product development for all cyber risk exposures at Zurich.
Attack Analysis: The Latest on Kaseya and PrintNightmare
After what has been a particularly busy week in the world of threat response, Corvus continues to monitor the REvil ransomware group’s attack that targeted Managed Service Providers (MSPs) who leverage the on-premise Kaseya VSA solution, as well as fallout from the zero-day discovery known as PrintNightmare (skip to end of this article if you just want to read about this more recent vulnerability). Corvus alerted policyholders to each of these attacks within hours of discovery, but as the situation unfolds we are learning more.