To protect our clients' data, QuartzX meets the most stringent data security standards and holds a SOC-2 Type 2 certification issued by BDO.
This certification ensures that QuartzIQ has established and follows strict security protocols and procedures to protect confidential information.
Our SOC-2 report can be provided to our clients upon request.
Our QuartzIQ solution was designed and built with the principle of security by design. Throughout its design, we have implemented the best practices in terms of data access segmentation by using Azure AD groups, data segmentation and application roles.
We also implemented several double validation features, especially when configuring data sources within the controls, guaranteeing a greater security granularity.
Our architecture allows customized configurations for each client, allowing them to configure themselves the data that is sent to our infrastructure. Thus, in order to benefit from the advantages of QuartzIQ, our customers do not have to open up their entire infrastructure and give us access to all of their data.
In addition, our architecture is based on a hyper-secure shared tenant, and we also offer the possibility of setting up a dedicated tenant in any country or region to meet the highest security requirements.
Furthermore, our organization allows our customers to remain RGPD compliant. You retain all your rights to your data and we only use the data sent to us for the purpose of processing your alerts.
With our plug-and-play data connectors, our solution easily connects to all your data. We have a set of connectors for the vast majority of solutions on the market (Splunk, Workday, Azure AD, etc.).
We also have more generic connectors for integrating any other data source such as files, relational databases, APIs or even your proprietary systems.
The nature of our connectors allows QuartzIQ to quickly connect to any data source in the Cloud, On Premises, on Linux or Windows OS, and even within other SaaS providers.
Our solution is also capable of easily cross-referencing data sources from your different applications, thanks to a customizable configuration through a dedicated management interface.
Each customer can manage both data loading and control rule scripts independently, and cross-reference these data sources to detect potentially hidden fraud patterns.
QuartzIQ is natively compatible with Snowflake, allowing you to leverage your existing investment in Snowflake by using its data for your alerts, but also to expose the data from our solution for other uses.
Our check rules engine also includes a mechanism to check the quality of the data before the check is executed. This allows us to ensure that we have sufficient data quality and data freshness to execute the control.
With our solution, each customer can also customize our application data models and workflows to best suit their needs. Indeed, our flexible solution allows any customer to add new fields to the models and to modify the different workflows in a completely autonomous way.
QuartzIQ has a powerful data processing and cross-referencing engine to help you quickly and accurately analyze large volumes of data from a multitude of On Premises, Cloud, Hybrid as well as multi-vendor applications.
With advanced algorithms and real-time processing, you can gain valuable insights and make data-driven decisions with confidence.
We provide our customers with a comprehensive rule catalog covering the different areas of the company, allowing to accelerate the implementation of our solution and quickly prove a return on investment.
This rule catalog, composed of both business descriptions and pre-designed rule templates, will guide you in the implementation of effective controls.
The control rules can be customized directly in our solution by the business teams. They can easily customize and set detection thresholds to prevent false positives.
In addition, our solution provides access to a sandbox, allowing teams to easily design their control rules from various data sources.
Our platform is SOC-2 Type II certified