Mobile Device Management (MDM) in Healthcare

whitePaper | October 5, 2022

AutodeskConstruction Cloud®is a cloud-baseddesign andconstruction project management platformdesigned to improve performance across a project’s lifecycle. As a secure,cloud-based platform, Autodesk Construction Cloudoffers the benefits of collaboration in the design and construction spacewhile safeguarding customer data. Autodesk Construction Cloudis designed and built using best-in-class cloud software practices and powered by Amazon Web Services (AWS), the world’s leader in cloud infrastructure. We havedesigned our services to be scalable and secure, thus providing our customers with a resilient and safeapplication. We know our customers’business is relying on us and we take that responsibility seriously.DocumentPurposeand ScopeThe purpose of this document is to outline Autodesk Construction Cloudoperations, software development,and security measures implemented in theenvironment.WHAT IS INCLUDED:The scope of this whitepaper includes all modules and services in AutodeskDocs, Autodesk Build(including PlanGridBuild), Autodesk Takeoff, Autodesk BIM Collaborate and Autodesk BIM Collaborate Pro (including Revit®Cloud Worksharing, Collaboration for Civil 3D®, and Collaboration for Plant 3D®).WHAT IS EXCLUDED:The scope of this whitepaper excludesthe following: Assemble, BuildingConnected, Pype,ACCConnect,BIM 360 Field, BIM 360 Glue, BIM 360 Plan, BIM 360 Ops, and BIM 360 Team. For more information on security practices for Autodesk products, visit theAutodesk Trust Center.

whitePaper | March 14, 2023

This document describes data that is exchanged between the Hardware Management Console (HMC) and the IBM Service Delivery Center (SDC). In addition, it also covers the methods and protocols for this exchange. This includes the configuration of “Call Home” (Electronic Service Agent) on the HMC for automatic hardware error reporting. All the functionality that is described herein refers to Power Systems HMC and the HMC that is used for the IBM Storage System DS8000.

whitePaper | December 4, 2019

This paper describes a distributed anomaly detection approach designed to accurately track actions performed by adversaries across a network. The illustrated approach involves running multiple machine learning models on both endpoints and the network as well as on a centralized backend, and includes communication and replication of learned states between these models.

whitePaper | January 23, 2020

With the accumulation of big data, dramatic improvements in computing power, and continuous innovation in Machine Learning (ML) methods, Artificial Intelligence (AI) technologies such as image recognition, voice recognition, and natural language processing have become ubiquitous. Meanwhile, AI poses a significant impact on computer security: on the one hand, AI can be used to build defensive systems such as malware and network attack detection; on the other hand, AI might be exploited to launch more effective attacks.

whitePaper | October 17, 2022

Nearly four thousand years ago, Hammurabi engraved the laws of Babylon onto a stone plinth and revolutionized the codication of law. Today, lawyers of all walks of life are engaged in a new revolution, with the ability to practice law armed with nothing more than a tablet device and an internet browser—a revolution brought about, in large part, by the rise of cloud computing.

whitePaper | May 22, 2022

Hackers have made healthcare a top target. As a result, the healthcare industry experienced the highest number of ransomware attacks during Q3 2022, with one in 42 healthcare organizations suffering an attack – in spite of an 8 percent drop in ransomware attacks in Q3.