Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Andrew Conry Murray

Andrew Conry Murray



Omnipotent Hacker Myth Lets Business Off The Hook

If the public believes hackers are almighty, companies have little incentive to take security seriously.

If you don't know much about computer security, you might come away from the past few months with the idea that criminal hackers are gods. Breathless news coverage has portrayed LulzSec and its ilk as capable of striking down mighty (though mortal) targets at whim, including law enforcement, three-letter government agencies, and major corporations. And if the hackers are omnipotent, companies can take even less responsibility for protecting customer information than they already do. After all, how are mere mortals expected to defend themselves against thunderbolts hurled by Zeus?

In the past, one compelling argument for vigorous information security was to protect a business' reputation. The reasoning: Companies that fail to safeguard customer data will suffer brand damage and lose customer trust, leading to lost sales and profits. While such losses have always been difficult to quantify, executives could understand at a gut level that exposing thousands of customer records to criminals makes the company look incompetent or even negligent.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But this argument is showing cracks. First, there's not a lot of evidence that a security breach has a lasting effect on a brand. Case in point is T.J. Maxx. The retailer announced a computer intrusion in January 2007. Over time, it was revealed that more than 45 million customer records were exposed. The company was lambasted in the press for months as details piled up about its atrocious security practices. But in February 2008, the parent company announced that sales at had actually gone up in the past year. DSW Shoes, OfficeMax, and grocery chain Hannaford Bros. also suffered breaches in the past few years, with little apparent fall-off in shoppers. We'll have to wait and see if Sony experiences any long-term customer losses due to the PlayStation Network breach, but I doubt it.

The omnipotent hacker myth could kill this brand-damage argument entirely. If the public sees an intrusion not as a preventable human activity, but rather an unstoppable act of a higher power, then how can you blame the victim? People get cancer, towns are flooded, and companies expose millions of credit card numbers. Stuff happens, right?

Security has always been a difficult sell to executives. Security systems are complicated and sometimes unwieldy, while businesses want to be agile. Security tools, and the people to operate them and analyze their output, are expensive.

10 Massive Security Breaches
(click image for larger view)
Slideshow: 10 Massive Security Breaches
Companies have always weighed the costs of security versus the costs of a potential breach, but in an era of omnipotent hackers, the balance begins to shift. You can imagine a CEO reasoning thusly: Do I want to A) spend lots money on security with no guarantee of protection, or B) put that money somewhere else and risk an intrusion? If a company knows that an intrusion isn't going to cost it customers in the long run, option B becomes more palatable.

There are other costs associated with breaches, such as lawsuits, fines, and the investigation and clean up. Those costs are also part of the risk management equation, and they should carry significant weight as companies evaluate their security stance. But if a company thinks it can bear those costs with no long-term brand erosion, why not roll the dice?

The media also bear some responsibility here. Mainstream outlets rarely bother to differentiate among the kinds and severity of attacks that groups like LulzSec and Anonymous perpetrate. It's one thing to penetrate systems and steal sensitive information. It's another to launch a distributed denial of service attack against a public-facing website. The first could have repercussions for lots of people; the second is dumb vandalism that takes little skill or knowledge. But when the media lump these attacks together as mighty displays of power, it imparts a degree of potency that's unwarranted.

That said, the ultimate responsibility falls on the companies that store sensitive customer information. No company can legitimately claim to be ignorant of the threats, or pretend that it isn't a target. But as attacks become more commonplace, and the public sees intrusions as inevitable, I worry that companies will take more security shortcuts--creating a self-fulfilling prophecy. It's the kind of catastrophe that only a vengeful god would enjoy.

Cybercriminals are not only exploiting small and midsize businesses--they're targeting them. In this Dark Reading Tech Center report, we identify how SMBs are exploited, where their security fails, and how they can shore up their defenses. Download it 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.