Parametrix Analytics

Helping (re)insurers map, assess, and model cloud outage risk.

2,600

Historical cloud outage events tracked and audited

285

Active monitors alerting to potential interruption

18.5b

Availability tests
performed every year

260b

Cloud performance & availability data points

115

Cloud regions monitored around the globe

1,200

Company status pages monitored for analyzed

Portfolio management, underwriting & risk transfer decisions driven by data.

Analyze cloud exposure

Identify a portfolio’s cloud infrastructure and quantify your accumulation risk.

Define cloud RDS

Define realistic disaster scenarios and estimate the financial loss from an event.

Structure cloud risk solutions

Customized risk transfer solutions, optimizing your risk strategy.

Cloud monitoring & alerts

Proactive management with portfolio-specific outage monitoring and alerts.

Parametrix cloud risk modeling

Parametrix cloud risk modeling, leveraging cloud analytics and proprietary data, allows you to pinpoint your exposure to cloud outage risk in a way that's never been done before. Employing external and non-intrusive techniques, the proprietary technology tracks over 18.5 billion data points each year from 297 data centers around the world.

This real-time data paired with insured exposure data and years of historical cloud outage data is what makes Parametrix cloud modeling unique and unparalleled for understanding and modeling cloud outages. We continuously track and analyze the dependencies between different Saas, PaaS and IaaS platforms, collecting granular data with detection capabilities down to the millisecond.

The proprietary technology is the first of its kind, enabling Parametrix to define the first cloud outage index that provides uniform measures and statistics across all the cloud service providers.

Cloud infrastructure detection

Detect the cloud infrastructure of every underlying insured, including redundancy. Enable a better understanding into cloud behavior on a more granular level with a complete, 360 view into your portfolios’ cloud footprint, as well as:

  • Analyze a real or synthetic portfolio(s)

  • Map the main accumulation and aggregation points

  • Quantify the potential financial and insurance loss per aggregation point

Parametrix also tracks and analyzes the performance, availability, and interdependencies of other third-party IT services such as content delivery networks (CDNs), payment gateways, CRMs, and other widely used SaaS platforms.

Realistic cloud outage scenarios

Leverage proprietary cloud monitoring technology along with historical, real-time, and insured exposure data to define all relevant and realistic cloud outage RDSs based on factors such as:

  • Cloud service provider

  • Cloud region

  • Outage duration

The return period is set according to stochastic models based on years of attritional data for cloud outages.

From risk analysis to risk transfer

The insights gained from Parametrix cloud risk modeling can be applied to structured risk transfer, both parametric and non-parametric, using an informed risk strategy to determine the risk retention, mitigation, and transfer.

Transactions are event-based and can be tailored to factors such as:

  • Cloud service provider

  • Cloud region(s)

  • Georgraphical region(s)

  • Different waiting periods

  • Varying payout schedules

Cloud monitoring &
alerts

Parametrix's proprietary cloud monitoring technology tracks the availability and performance of your portfolios' aggregation points so you know which cloud regions are the most stable and what your level of exposure is for each point. The alert system sends real-time notifications of potential loss that is triggered from a specific event.

Key features include:

  • The only data repository for cloud downtime combining proprietary directly monitored data and externally collected sources

  • Standardized language and method to record service provider data that translates across all providers and service provider types (Cloud, CDN, CRM, etc)

  • Index highlights the amount of outages and degradation that the cloud experiences almost on a daily basis

The return period is set according to stochastic models based on years of attritional data for cloud outages.

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