Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Bob Evans

Global CIO: After Google Cyber Attack, CIOs Must Find The Body

The Aurora attacks from China are incredibly advanced and malicious, says McAfee's CTO: "Where's the body?"

Saying that "the world has changed" since the Chinese began their cyberattacks under the name Operation Aurora, McAfee CTO George Kurtz said CIOs need to adapt their threat models "to the new reality of these persistent threats." But these latest attacks are making it hard for CIOs to make their case to the CEO because the post-Aurora threats are almost undetectable. They leave no evidence. They leave no body.

Writing on McAfee's "Security Insights Blog," Kurtz described this latest challenge for CIOs in chilling terms in a post called "Where's The Body?":

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.

I know many of the technical teams are working around the clock to figure out what happened. While one might believe that it should be a relatively straightforward exercise of forensically examining the infected systems and correlating any activity with the associated firewall log files, it isn't that easy.

You may ask, "Why is that?" Well, there are three key questions that upper management, namely the CEO and CIO, ask before they rate this incident above "media hype."

1. Did we have a breach?

2. Was data stolen?

3. If so, what data was taken and by whom?

The problem, Kurtz says, is that today's cyberattacks are so sophisticated that they do great damage without leaving a trace, which leads to "one major problem that seems to be a common theme. There is no body to be found."

And without that body—the data—the CEO and CIO won't necessarily believe there's an urgent issue because in the past, all serious security threats came with a very obvious body included at no extra charge, Kurtz says.

The new challenge: "While a sophisticated attacker will leverage insidious malware, don't expect them to drive a truck through your network and leave a calling card on the way out," Kurtz writes. "Instead, expect low and slow movements of data that 'blend' into the massive amount of traffic flow that happens on a daily basis on your network."

In another recent blog post, Kurtz had described the threats and, again, painted a scary picture. And while I realize he's a high-level executive at a company that would love to sell you some security products and services to stave off such attacks, Kurtz's writing has always impressed me as straightforward and honest. So here's more of his description of the Aurora threat from a recent post called "Google Attack Is Tip Of Iceberg":

 1 | 2  | 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.