Big Data. Big Decisions
InformationWeek
Special Coverage Series


How To Build A Secure Mobile App

While it's a relatively new channel, mobile banking is growing rapidly, and apps are emerging as consumers' mobile solutions of choice. How do you ensure your app is secure?

Best Mobile Apps For Busy Professionals
(click image for larger view)
Slideshow: Best Mobile Apps For Busy Professionals
As is the case with any delivery channel, security is at the forefront for banks as they rush to deploy or enhance mobile banking apps in the fast-growing smartphone market. And while many banks' mobile apps limit customers to basic functions--checking account balances and transaction histories, finding a branch or ATM location, and initiating transfers--a new wave of apps is bringing person-to-person payments, remote deposit capture, and bill pay to the mobile channel. Simply, the apps are getting smarter and more capable. But with those capabilities comes the potential for greater threats.

"Clearly everyone is concerned about mobile security," says Jacob Jegher, senior analyst for Boston-based Celent's banking group. "But we haven't really seen the brunt of the challenges that could come with mobile fraud. In other words, it's a channel that hasn't been heavily targeted."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But the market is expanding fast, and so is the target for criminals. A February IDC (Framingham, Mass.) report indicated that smartphone sales outpaced PC sales for the first time ever in the fourth quarter of 2010, with 100.9 million smartphones shipped versus 92.1 million PCs. The growth in smartphone sales could translate to more opportunity for customers to access their banks through those devices--either via apps or mobile browser--and more opportunity for fraud.

To keep up with the proliferation of devices and customers who prefer downloadable apps, banks often deploy mobile banking applications across multiple platforms--Apple's iOS, Google's Android, Research in Motion's BlackBerry and others--and banks have to build for the strengths and weaknesses intrinsic to every device, which adds to the security challenges. Another wrinkle is that these development efforts are creating an entirely new kind of bank channel experience.

"As you look at the back-office systems that are inherently driving online and mobile, they're the same systems," says Keith Gordon, SVP, echannels, fraud and enrollments executive, Charlotte, N.C.-based Bank of America ($2.27 trillion in assets). "But the big difference comes in how our customers are interacting with us. In an online space we've got complete control of that environment; whereas when you look at mobile, we've now pushed that functionality out to the customer."

Developing an app-based mobile banking experience is completely new for many banks, acknowledges Mark Bregman, EVP and CTO of Mountain View, Calif.-based security firm Symantec Corp., who stresses that security should be paramount in the process. "In a way you have to be more systematic in planning for and building mobile banking apps than you did with Web-based apps," Bregman says. "On the other side of it, things are moving very fast toward mobility--if you're a bank and you decide to wait too long, you run the risk of being left behind."

Because mobile banking via downloadable app is a relatively new phenomenon--the Apple iTunes App Store dates back to July 2008, and the Android Marketplace debuted that October--the current list of threats is poorly understood, if somewhat short. But that doesn't mean the threat isn't real--even if the app itself is not the problem.

Read the rest of this article on Bank Systems & Technology.

See the latest IT solutions at Interop New York. Learn to leverage business technology innovations--including cloud, virtualization, security, mobility, and data center advances--that cut costs, increase productivity, and drive business value. Save 25% on Flex and Conference Passes or get a Free Expo Pass with code CPFHNY25. It happens in New York City, Oct. 3-7, 2011. Register now.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.