SHIELD
Device-First Fraud prevention with Real-Time Intelligence & Identification.
Device Intelligence from SHIELD identifies persistently devices, users and accounts that you can trust - and those that you shouldn't.
Don't let fraudsters fool you. With the global standard for device ID -- SHIELD DeviceID -- you can make precise decisions about device trustworthiness.
Get a comprehensive view of each user with real-time device signals and continuous risk profiler. Eliminate blind spots and provide superior user experiences to accelerate growth.
Instant insights. No need for additional codes. Get intelligence without revealing PII. Risk thresholds that can be configured independently. We provide all data and more. Transparent intelligence gives you the complete picture. Stay on top of the latest fraud attacks. Real-time attack patterns synchronization worldwide.
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Kandji
Kandji, an Apple device management (MDM), solution, was created exclusively for IT departments in organizations that use Apple. Kandji is a cloud-based platform that centrally manages and secures your Mac, iPhone and iPad as well as Apple TV devices, saves IT teams hours of repetitive, manual work. It also includes 150+ pre-built automations and apps.
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AWS IoT
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
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IBM Watson IoT Platform
An entirely managed cloud-based solution that facilitates device registration, connectivity, control, quick visualization, and data storage. By integrating chip, app, and cloud technologies, users can fully leverage Watson's cognitive APIs, feature-rich dashboards, extensive developer tools, and top-tier security measures to enhance insights in enterprise IoT. This service provides predictive, real-time, and edge analysis of user, machine, and environmental data, utilizing machine learning and cognitive APIs. It enables governance over applications and devices within an IoT framework, monitoring usage and performance trends, detecting anomalies, and validating data and transactions. The platform connects IoT devices, networks, and gateways through an expanding ecosystem that employs open standards-based communications such as MQTT and HTTPS. Furthermore, it allows for the identification, aggregation, and transformation of data from various IoT sources into structured asset-based data. Users can harness their IoT data to gain insights into current conditions and trends, analyze unstructured data from videos and images, and extract valuable information from unstructured textual data. Ultimately, this service empowers organizations to make informed decisions based on comprehensive data analysis and visualization.
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