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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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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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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Ayla IoT Platform
Ayla adopts a genuinely agnostic strategy, facilitating device connectivity through various widely-used transport protocols, connectivity methods, and cloud infrastructure solutions. Compatible with standards such as HTTPS, MQTT, and CoAP, Ayla offers a comprehensive selection of pre-configured agents designed for embedded systems, gateways, Android, Linux, BLE/phones, and cloud connectivity. The company’s Virtualization Engine creates a powerful 'digital twin' of each physical device, establishing a strong groundwork for managing devices at a large scale within the IoT ecosystem. With proven functionalities like a rules engine, firmware Over-The-Air (OTA) updates, and data policies, Ayla's Device Management system ensures thorough support for connected products throughout their entire lifecycle. Additionally, Ayla's application enablement capabilities allow businesses to derive significant value from their data in numerous ways. By providing both a Web Framework and a Mobile Platform SDK, Ayla accelerates the development of consumer and business applications. Furthermore, they offer services such as Customer Care, Field Service, and Asset Tracking, enhancing the overall user experience and operational efficiency.
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