Welcome!

Cognitive Computing Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Liz McMillan, Zakia Bouachraoui

Related Topics: Mobile IoT, Industrial IoT, Microservices Expo, Machine Learning , Agile Computing, Wearables

Mobile IoT: Blog Feed Post

Status of Mobile Device Management (MDM)

Is the hype about MDM over?

Is the hype about MDM over?

According to a recent study by the 451 Group research firm:

  • Fewer than 15 percent of enterprises have deployed an MDM tool beyond Microsoft Exchange’s native capabilities.
  • Most organizations feel that encryption and password requirements, coupled with the remote lock and wipe capabilities, provided by Exchange is sufficient

So, do you really need to look into all the MDM products and try to justify the ROI?

MDM Status

Is Microsoft Exchange Active Sync (EAS) sufficient for you MDM needs?

EAS features:

  • Transmission Encryption: Requiring the use of SSL encryption for communications.
  • Strong Authentication: Supports the use of two-factor authentication or private/public keys for SSL certificates.
  • Remote Wipe: If a mobile phone is lost, stolen, or otherwise compromised, one can issue a remote wipe command from the Exchange Server computer or from any web browser by using Outlook Web Application.
  • Device Password Policies: Configurable option for device passwords - (1) Strength of password, (2) Inactivity time (3) Enforce password history, (4) Enable password recovery, and (5) Wipe device after failed attempts.
  • Device Encryption Policies: Can be set for group of users – (1) Requiring encryption on device and (2) Require encryption on storage cards.

EAS limitations:

  • No capability of managing applications on the device
  • No way of identifying which mailboxes have a mobile device paired with it or identify the number of mobile devices or type of mobile devices paired with a mailbox.
  • No audit trail – which may be needed for compliance need.
  • No way to get device inventory.
  • No private App Store.
  • No Mobile virtualization or secure app containers.

What if you are looking beyond what EAS provides?

Good Technology, Mobile Iron, and Airwatch seem to have emerged as the clear leaders in terms of market adoption.

There is a movement to erasing the artificial division between mobile and desktop management. There is a shift away from standalone “mobile device management” to “enterprise mobility management”.

There does not seem to be any open source MDM solution available – I have looked but have not been able to find any.

Do let me know if you have come across any solution.

Related Articles

Read the original blog entry...

More Stories By Udayan Banerjee

Udayan Banerjee is CTO at NIIT Technologies Ltd, an IT industry veteran with more than 30 years' experience. He blogs at http://setandbma.wordpress.com.
The blog focuses on emerging technologies like cloud computing, mobile computing, social media aka web 2.0 etc. It also contains stuff about agile methodology and trends in architecture. It is a world view seen through the lens of a software service provider based out of Bangalore and serving clients across the world. The focus is mostly on...

  • Keep the hype out and project a realistic picture
  • Uncover trends not very apparent
  • Draw conclusion from real life experience
  • Point out fallacy & discrepancy when I see them
  • Talk about trends which I find interesting
Google

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...