Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Bob Evans

Global CIO: IBM-Google Security Snafu Shows #1 Vulnerability Is Ignorance

IBM's ranking of software vendors by vulnerabilities is riddled with errors, so Google intervenes and goes from worst to first.

You would think that an organization committed to reporting lists of software-vendor security vulnerabilities—unpatched critical and high-risk bugs—would be unfailingly rigorous in its procedures and policies when compiling and distributing that information.

You would think that before crowning itself with a name like the "X-Force Team," such an organization would be brutally meticulous in avoiding incomplete information, imprecise methods, and anything else that could lead to inaccurate results.

You would think that a global IT powerhouse with IBM's reputation, resources, and credibility would never even think about getting into such a high-profile and high-stakes undertaking unless it the entire process, from end to end, was completely transparent and free of doubt, innuendo, and misinterpretation.

And you would be wrong, wrong, and wrong.

As it turns out, IBM's X-Force Team might well have carried out its work with nothing but the very best of intentions, but its processes in putting together its lists of software vendors with the highest number of vulnerabilities was itself plagued with flaws and shortcomings—what we might indeed call vulnerabilities.

All of this came to light this week after the IBM X-Force Team's mid-year list of highest-vulnerability software companies came out with Google at the very top of the list with an ugly showing of 33% of its critical and high-risk vulnerabilities unpatched. Any CIO looking at that would have to wonder what the heck was going on at Google, and would have to at least consider reevaluating the wisdom of expanding commitments to Google software.

Global CIO
Global CIOs: A Site Just For You
Visit InformationWeek's Global CIO -- our new online community and information resource for CIOs operating in the global economy.

But as my colleague Kelly Jackson Higgins of our sister site Dark Reading points out in her news analysis of the mid-year list, it turns out that the X-Force Team's findings on Google were wildly off the mark and that instead of having failed to patch fully one-third of its vulnerabilities, Google in fact had absolutely zero such critical and high-risk bugs to fix in the first place!

But unfortunately the story gets worse:

 1 | 23  | Next Page »


Related Reading


More Insights




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.