
Iris delivers powerful, easy-to-use identity and cyber protection solutions that help organizations protect their customers from identity theft, fraud, and digital threats — while driving engagement, retention, and new revenue opportunities. As a B2B2C provider, Iris enables businesses to seamlessly integrate identity protection into their existing products, platforms, and customer journeys.
Iris offers multiple deployment models to meet different business and technical needs:
• Identity Protection API: A scalable API solution that allows organizations to embed a suite of solutions that can be mixed and matched directly into their applications — while maintaining full control over branding and user experience.
• Micro-Experiences: Prebuilt, customizable components that can be quickly embedded into websites or apps, enabling fast time-to-market with minimal development resources.
• OnWatch® Portals: Fully managed, white-labeled identity protection platforms for organizations that prefer a turnkey solution.
Iris solutions include dark web monitoring, credit monitoring, high-risk transaction monitoring, social media monitoring, caller ID monitoring, scam analysis & support, dynamic risk assessment tools, robust device protection software, data removal tools, do-it-for-you fraud resolution services, and more.
Organizations use Iris to enhance customer trust, differentiate their offerings, reduce customer churn, and increase customer lifetime value. With proven results — including revenue generation, increased retention, and improved customer satisfaction — Iris transforms identity protection into a strategic business advantage.
Backed by Generali and more than 20 years of experience, Iris combines global scale, advanced technology, and expert-led support to deliver meaningful protection and measurable outcomes.
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RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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AVEVA Historian
AVEVA Historian simplifies the intricate challenges of data reporting and analysis with remarkable ease. This adaptable tool can be applied to monitor either a single process or an entire facility, allowing for localized data storage while simultaneously integrating information at the corporate level. By eliminating the possibility of multiple versions of operational data, it boosts productivity, reduces the likelihood of errors, and lowers operational costs. Unlike conventional relational databases that face difficulties in production environments, Historian excels at managing time-series data, as well as handling alarms and events efficiently. Its groundbreaking "history block" technology enables the swift capture of plant data at a speed that outpaces standard database systems, all while requiring significantly less storage capacity. The integrity of the data is maintained to satisfy even the most rigorous standards. Furthermore, AVEVA Historian skillfully manages low bandwidth communication, accommodates late-arriving data, and reconciles information from systems with varying clock settings, ensuring that high-resolution data is recorded consistently and accurately. This extensive range of capabilities not only enhances data management but also positions Historian as a critical resource for contemporary industrial operations, ultimately driving innovation and efficiency in the sector.
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InfluxDB
InfluxDB is a specialized data platform crafted to manage all types of time series data, encompassing users, sensors, applications, and infrastructure, allowing for the seamless collection, storage, visualization, and transformation of insights into actionable strategies. It features a comprehensive library of over 250 open-source Telegraf plugins, simplifying the process of importing and monitoring data from a variety of systems.
By empowering developers, InfluxDB facilitates the creation of innovative IoT, monitoring, and analytics applications and services. Its adaptable architecture can accommodate various implementations, whether in the cloud, at the edge, or on-premises. Moreover, its versatility, ease of access, and an array of supporting tools such as client libraries and APIs enable developers of all experience levels to swiftly create applications and services utilizing time series data.
The platform is optimized for enhancing developer productivity and efficiency, allowing builders to concentrate on the essential features that add value to their internal projects and provide their applications with a competitive advantage. To assist newcomers, InfluxData provides complimentary training through InfluxDB University, ensuring that anyone can quickly acquire the skills needed to leverage this powerful platform effectively.
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