Big Data. Big Decisions
InformationWeek
Special Coverage Series


How To Handle A Data Breach: 5 Tips For SMBs

AntiSec's' Apple UDID dump points out why small and midsize businesses should revisit their plans for handling a customer data breach.

Another day, another massive data breach.

Tuesday's news that AntiSec has published 1 million Apple Unique Device Identifiers (UDIDs) online--from a trove of 12 million such UDIDs--joins a long list of large-scale data breaches involving customer information. Other recent cases include the LinkedIn password breach and the Dropbox hack.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

High-profile examples like these generate the headlines, but similar, smaller-scale breaches can happen to SMBs with alarming ease. AntiSec claimed those 12 million UDIDs were pilfered from a FBI agent's laptop, after all--if that's true, do your employees stand a chance? (The FBI denied AntiSec's claim.)

If you ask Craig Spiezle, executive director and president of the Online Trust Alliance, even security-conscious SMBs should treat customer data breaches as a when-not-if proposition.

"If [SMBs] collect sensitive data, they need to face the inevitable fact that they will have a data-loss incident, whether that's a breach, a lost USB stick, or a stolen computer," Spiezle said in an interview. Adopting that mindset isn't a pessimistic approach; it's a pragmatic one, according to Spiezle, because it leads to better planning and smarter, faster decisions.

[ For more SMB security tips, see 5 Flame Security Lessons For SMBs. ]

So the question is: How will your company respond if an incident does happen? Spiezle offered the following advice on developing a strong plan for acting in the wake of a data breach.

1. What Data Do You Have? The first step is to fully understand the kinds of customer information your company is handling and storing--and why. It might sound obvious, but according to Spiezle, breaches often expose how little an organization knows about its data. "I've gone through a lot of breach responses with companies where people are literally sitting around a table saying 'I had no idea we were doing that,'" Spiezle said. That can exponentially complicate matters when a data-loss event occurs--you can't very well determine the consequences and communicate them appropriately if you don't know what was at stake in the first place. Assess the kinds of data you have, who has access to it, and why.

The general rule of thumb: Limit access to those who need it for legitimate business reasons. Put a particularly high burden of proof on the case for storing sensitive customer information on laptops, external drives, mobile devices, and other hardware that can be easily lost or stolen.

2. What Are Your Regulatory Requirements? Spiezle is quick to note that this is one of the toughest data-breach challenges for SMBs that lack a compliance officer--much less an entire compliance staff--or that rely on IT generalists rather than information security specialists. But your regulatory requirements will dictate what you must do in data-breach scenarios. These are defined by the likes of HIPAA or PCI, but Spiezle noted that 46 states also now have some form of reporting requirements.

Alas, while there are vendors that can help, there's no central online destination for companies to assess all of their compliance requirements. Spiezle thinks federal legislation could help. "It is a very complex issue, and [it] again underscores the importance of pre-planning," he said.

Bonus advice: Be proactive. If you do seek help from a vendor, Spiezle pointed out that it's much better to do this when you don't already have a problem--it's tough to get the best terms if you're negotiating at 3 a.m. on a Saturday after a breach has already occurred.

3. Who Will You Notify? Knowing who you'll need to communicate with can help lead to faster, more effective responses to data-loss events. Identify those groups before something goes wrong. "This might be partners, customers, [or] government agencies," Spiezle said. He noted that some companies develop relationships with appropriate law enforcement agencies in advance so that they know the proper people to contact in the event of a data breach. Consider it the business equivalent of keeping a list of emergency contact numbers near your home phone.

4. When Will You Notify Them? This is a tricky and much-debated area: How soon should you notify affected customers and other stakeholders? Spiezle said it's a case-by-case decision. With law enforcement or other government agencies, it's usually an ASAP scenario. Customers and partners are a tougher call. On the one hand, Spiezle said, you don't want them to find out from the media or other external sources. On the other hand, you don't want to make things worse by communicating inaccurate information, which can happen if you act too quickly. Some of this decision may be guided the regulatory requirements your company operates under, too. Rule of thumb: Communicate as quickly as possible without sacrificing the clarity and accuracy of the information you provide.

5. What Will You Say? One way to cut down your response time and outreach efforts: Prepare your customer and other external communications in advance. This gets back to the importance of Tip 1--it's tough to accurately message a breach if you don't know what data you had in the first place. If you've got a complete understanding of your information and how you handle it, you can develop solid communications templates in advance.

An additional benefit: You're likely to communicate more clearly if you're writing when things are running smoothly than in the panicked aftermath of a breach. "I've seen several companies that have emails already written, Web pages ready to go, and they just have to add and populate the specifics," Spiezle said.

OTA offers a sample notification letter and related resources in its free Data Protection & Breach Readiness Guide, which Spiezle said will be updated next month.

Cybercriminals are taking aim at your website. Is your security strategy up to the challenge? Also in the new, all-digital 10 Steps To E-Commerce Security issue of Dark Reading: About half of the traffic to e-commerce sites is machine generated--and much of it is malicious. (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.