DeviceAtlas

Distinguish between genuine users and potential threats with high accuracy by identifying unique devices and global historical data in real time. Device characteristics can change over time, leading to recognizing the same device as a different one. Collecting sufficient data while respecting user privacy, especially with stringent data protection regulations. New devices and OS are regularly released, and being up-to-date and adaptable is vital. Associating multiple device profiles with a single user with an accurate cross-device tracking capability. Manipulate the user-agent information sent by browsers or apps to mimic legitimate devices. Difficulty in maintaining a unique device ID when it’s being tampered with, modified, or hijacked. Distinguishing every device, even in challenging scenarios like factory resets, tampered device locations, detection of group control tools, script-based manipulations, app reinstalls, and beyond.

A fully managed, cloud-hosted service with capabilities for device registration, connectivity, control, rapid visualization and data storage. From chip to app to cloud, take full advantage of cognitive Watson APIs, visual dashboards, rich developer resources and industry-leading security to accelerate enterprise IoT insight. Predictive real-time and edge analysis of user, machine and environmental data that leverages machine learning and cognitive APIs. Govern applications and devices within an IoT ecosystem: usage and performance patterns, anomaly detection, data and transaction validation. Connect IoT devices, networks and gateways through a growing ecosystem that uses open standards-based communications like MQTT and HTTPS. Identify, aggregate and transform data from your IoT sources into asset-based data structures. Use your IoT data to understand current conditions and trends, comprehend unstructured data from videos and images, and extract unstructured textual data for insights.