Big Data. Big Decisions
InformationWeek
Special Coverage Series


VA Computers Remain Unencrypted, Years After Breach

Report faults IT managers for 6-year delay in adopting security measures.

Top 10 Open Government Websites
Top 10 Open Government Websites
(click image for larger view and for slideshow)
Following a high-profile data breach six years ago, the U.S. Department of Veterans Affairs spent almost $6 million on encryption software for its PCs and laptops. But an investigation by the department's inspector general determined that the encryption software has been installed on only 16% of its computers.

In the spring of 2006, an unencrypted external hard drive with personal information on 26 million veterans was stolen from the home of a VA employee. The department was forced to notify veterans and provide credit monitoring, at a cost of $20 million. In response to the security lapse, VA secretary James Nicholson mandated that all of the department's PCs and laptops be protected by encryption software.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The VA, in a deal with federal contractor Systems Made Simple, spent $2.4 million in 2006 for 300,000 licenses of GuardianEdge encryption software. The department spent an additional $1.2 million between 2007 and 2011 on maintenance agreements for 300,000 licenses, plus $2.3 million in 2011 for additional licenses and a two-year extended maintenance agreement. GuardianEdge was acquired by Symantec in 2010.

[ Hackers infiltrate a critical U.S. infrastructure, heightening need for tighter security. Read more at DOD: Hackers Breached U.S. Critical Infrastructure Control Systems. ]

But an anonymous tip, left 12 months ago on the VA's complaint hotline, alleged that the software was not being widely deployed, prompting an investigation. The IG found that the encryption software was installed on only 40,000 computers.

The IG report faulted the VA's Office of IT for inadequate planning and management of the project, citing a failure to allow time to test the software on VA's computers and to monitor the software's installation and activation. The agency encountered incompatibilities between the encryption software and its desktop PCs, causing it to postpone the software installation until it could standardize its PCs.

As a result, 335,000 licenses remain inactive, leaving an equal number of agency PCs unprotected. "Veterans' data remained at risk due to unencrypted computers," according to the Oct. 11 report.

By way of explanation, the VA's Office of IT, which has more than 5,000 employees, pointed to conflicting priorities, including the department's transition from Windows XP to Windows 7 and a "cultural transformation" tied to the implementation of its Continuous Readiness in Information Security Program.

As recently as August, the Office of IT had not provided a timeframe for completing installation of the encryption software, and it was still assessing whether the encryption software would be compatible with the agency's PC operating systems. The VA now plans to include the encryption software as part of its Windows 7 rollout, with completion targeted for September 2013, according to the IG.

Cybersecurity, continuity planning, and data records management top the list in our latest Federal IT Priorities Survey. Also in the new, all-digital Focus On The Foundation issue of InformationWeek Government: The FBI's next-gen digital case management system, Sentinel, is finally up and running. (Free registration required.)



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.