Jim Harris

My name is Jim Harris, I am the Blogger-in-Chief of OCDQ Blog, and an independent consultant, speaker, and freelance writer for hire.

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Entries in Data Security (12)

Thursday
Jan032013

Best OCDQ Blog Posts of 2012

Welcome to my roundup of the best blog posts published on the Obsessive-Compulsive Data Quality (OCDQ) blog during 2012.

My selections were based on a pseudo-scientific, quasi-statistical combination of page views, comments, and re-tweets, as well as choosing a few of my personal favorites, and which I have organized into four sections of ten best posts by topic or type.

 

Ten Best Posts on Big Data

  • Dot Collectors and Dot Connectors — The multifaceted challenges of big data require the dot collectors of data management and the dot connectors of business intelligence to overcome their attention blindness and work together more collaboratively.
  • HoardaBytes and the Big Data Lebowski — Don’t hoard Data, dude.  The Data must abide.  The Data must abide both the Business, by proving useful to our business activities, and the Individual, by protecting the privacy of our personal activities.
  • Our Increasingly Data-Constructed World — What we now call Big Data is in fact a long-running macro trend underlying the many recent trends and innovations making our world, not just more data-driven, but increasingly data-constructed.
  • Will Big Data be Blinded by Data Science? — With apologies to Thomas Dolby, will the business leaders being told to hire data scientists to derive business value from big data analytics be blind to what data science tries to show them?
  • The Graystone Effects of Big Data — Using a metaphor based on the science fiction television show Caprica, I refer to the positive aspects of Big Data as the Zoe Graystone Effect, and the negative aspects of Big Data as the Daniel Graystone Effect.
  • Exercise Better Data Management — Big Data may be followed by MOData (i.e., MOre Data or Morbidly Obese Data), but that doesn’t necessarily mean we require more data management, instead we just need to exercise better data management.
  • A Tale of Two Datas — Inspired by Malcolm Chisholm and Charles Dickens, there are two types of data (i.e., representation and observation, not big and not-so-big) with different data uses that will require different data management approaches.
  • Data Silence — Not only do we need to adopt a mindset that embraces the principles of data science, but we also have to acknowledge that the biases and preconceptions in our minds could silence the signal and amplify the noise in big data.
  • The Wisdom of Crowds, Friends, and Experts — The future of wisdom will increasingly become an amalgamation of experts, friends, and crowds, with the data and techniques from all three sources often contributing to data-driven decision making.

 

Ten Best Posts on Data Governance and Data Quality

  • Data Quality: Quo Vadimus? — With lots of help from Henrik Liliendahl Sørensen, Garry Ure, Bryan Larkin, and many others via the comments, I ponder where data quality is going, and whether data quality is a journey or a destination.
  • Data Quality and Miracle Exceptions — Battling the dark forces of poor data quality doesn’t require any superpowers, and data quality doesn’t have any miracle exceptions, so for the love of high-quality data everywhere, stop trying to sell us one.
  • Data Myopia and Business Relativity — Examines the two most prevalent definitions for data quality, real-world alignment and fitness for the purpose of use, otherwise known as the danger of data myopia and the challenge of business relativity.
  • How Data Cleansing Saves Lives — Although proactive defect prevention is far superior to reactive data cleansing, the history of the Hubble Space Telescope proves that data cleansing can be not just a necessary evil, but also a necessary good.
  • Data Quality and the Bystander Effect — The most common reason data quality issues are neither reported nor corrected is the Bystander Effect making people less likely to interpret bad data as a problem or, at the very least, not their responsibility.
  • Data Quality and Chicken Little Syndrome — A chicken-metaphor-based post about the far-too-common and fowl folly of, instead of trying to sell the business benefits of data quality, emphasizing the negative aspects of not investing in data quality.
  • Data and its Relationships with Quality — The metadata linking the data management industry to what it manages suffers from the one-to-many relationships created by never agreeing on how data, information, and quality should be defined.
  • Cooks, Chefs, and Data Governance — Implementing policies requires cooks who are adept at carrying out a recipe, as well as chefs who are trusted to figure out how to best combine policies with the organizational ingredients available to them.
  • Availability Bias and Data Quality Improvement — The availability heuristic explains why a reactive data cleansing project is easily approved, and availability bias explains why initiating a proactive data quality program is usually resisted.

 

Ten Best Podcasts

  • Data Quality and Big Data — Guest Tom Redman (aka the “Data Doc”) discusses Data Quality and Big Data, including if data quality matters less in larger data sets, and if statistical outliers represent business insights or data quality issues.
  • Saving Private Data — Recorded in December 2011, guest Daragh O Brien discusses the data privacy and data protection implications of social media, cloud computing, and big data.
  • Demystifying Master Data Management — Guest John Owens explains the three types of data (Transaction, Domain, Master), the four master data entities (Party, Product, Location, Asset), and the Party-Role Relationship, which is where we find many of the terms commonly used to describe the Party master data entity (e.g., Customer, Supplier, Employee).
  • The Johari Window of Data Quality — Guest Martin Doyle discusses helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.
  • Defining Big Data — This episode of the Open MIKE Podcast, with assistance from Robert Hillard, discusses how big data refers to big complexity, not big volume, even though complex datasets tend to grow rapidly, thus making them voluminous.
  • Getting to Know NoSQL — This episode of the Open MIKE Podcast discusses how NoSQL does not mean AntiSQL (i.e., NoSQL is not a Relational replacement), and that business-driven big data needs will often require “Not Only SQL.”

 

Ten Best of the Rest

  • DQ-View: Data Is as Data Does — In this short video, I explain that data’s value comes from data’s usefulness, exemplifying the potential value of unstructured data based on whether or not you put what you read in data management books to use.
  • DQ-View: The Five Stages of Data Quality — In this short video, using my superb acting skills, I demonstrate how coming to terms with the daunting challenge of data quality is somewhat similar to experiencing the Five Stages of Grief.
  • DQ-View: MetaData makes BettahMusic — In this short video, I demonstrate how better metadata makes data better using the metadata automatically and manually created after importing my CD collection into my iTunes library.
  • Metadata, Data Quality, and the Stroop Test — In this colorful (and perhaps too colorful) post, I use the Stroop Test, where colors do not match their names, to discuss the relationship between metadata and data quality.
  • Quality is the Higgs Field of Data — Using one of the biggest science stories of 2012, the potential discovery of the elusive Higgs Boson (which I also attempt to explain), I attempt an analogy for data quality based on the Higgs Field.
  • The Family Circus and Data Quality — Thanks to The Family Circus comic strip created by cartoonist Bil Keane, I explain how Ida Know owns the data, Not Me is accountable for data governance, and Nobody takes responsibility for data quality.
  • Data Love Song Mashup — Since your data needs love too, on Valentine’s Day I wrote this post providing a mashup of love songs for your data (and Rob DuMoulin added a few more in the comments) — Happy Data Quality to you and your data!
  • The Algebra of Collaboration — The trick of algebra equates collaboration with data quality and data governance success when collaboration is viewed not just as a guiding principle, but also as a call to action in your daily practices.
  • The Return of the Dumb Terminal — With help from author Kevin Kelly and my old green machine, I ponder how the mobile-app-portal-to-the-cloud computing model means mobile devices are bringing about the return of the dumb terminal.
  • An Enterprise Carol — Jacob Marley raises the ghosts of a few ideas to consider about how to keep the Enterprise well in the new year via the Ghosts of Enterprise Past (Legacy Applications), Present (IT Consumerization), and Future (Big Data).

 

Thank You for Reading OCDQ Blog in 2012

In 2012, the Obsessive-Compulsive Data Quality (OCDQ) blog published 92 posts, which received 160,000 total page views, while averaging over 400 page views and 200 unique visitors a day.

Thank you for reading OCDQ Blog in 2012.  Your readership was deeply appreciated.

 

Related Posts

Best OCDQ Blog Posts of 2011

So Long 2011, and Thanks for All the . . . – The OCDQ Radio 2011 Year in Review

2012 Quarterly Review of the Data Roundtable (Part 4)

2012 Quarterly Review of the Data Roundtable (Part 3)

2012 Quarterly Review of the Data Roundtable (Part 2)

2012 Quarterly Review of the Data Roundtable (Part 1)

2011 Quarterly Review of the Data Roundtable (Part 4)

2011 Quarterly Review of the Data Roundtable (Part 3)

2011 Quarterly Review of the Data Roundtable (Part 2)

2011 Quarterly Review of the Data Roundtable (Part 1)

Tuesday
Dec182012

An Enterprise Carol

This blog post is sponsored by the Enterprise CIO Forum and HP.

Since ‘tis the season for reflecting on the past year and predicting the year ahead, while pondering this post my mind wandered to the reflections and predictions provided by the ghosts of A Christmas Carol by Charles Dickens.  So, I decided to let the spirit of Jacob Marley revisit my previous Enterprise CIO Forum posts to bring you the Ghosts of Enterprise Past, Present, and Future.

 

The Ghost of Enterprise Past

Legacy applications have a way of haunting the enterprise long after they should have been sunset.  The reason that most of them do not go gentle into that good night, but instead rage against the dying of their light, is some users continue using some of the functionality they provide, as well as the data trapped in those applications, to support the enterprise’s daily business activities.

This freaky feature fracture (i.e., technology supporting business needs being splintered across new and legacy applications) leaves many IT departments overburdened with maintaining a lot of technology and data that’s not being used all that much.

The Ghost of Enterprise Past warns us that IT can’t enable the enterprise’s future if it’s stuck still supporting its past.

 

The Ghost of Enterprise Present

While IT was busy battling the Ghost of Enterprise Past, a familiar, but fainter, specter suddenly became empowered by the diffusion of the consumerization of IT.  The rapid ascent of the cloud and mobility, spirited by service-oriented solutions that were more focused on the user experience, promised to quickly deliver only the functionality required right now to support the speed and agility requirements driving the enterprise’s business needs in the present moment.

Gifted by this New Prometheus, Shadow IT emerged from the shadows as the Ghost of Enterprise Present, with business-driven and decentralized IT solutions becoming more commonplace, as well as begrudgingly accepted by IT leaders.

All of which creates quite the IT Conundrum, forming yet another front in the war against Business-IT collaboration.  Although, in the short-term, the consumerization of IT usually better services the technology needs of the enterprise, in the long-term, if it’s not integrated into a cohesive strategy, it creates a complex web of IT that entangles the enterprise much more than it enables it.

And with the enterprise becoming much more of a conceptual, rather than a physical, entity due to the cloud and mobile devices enabling us to take the enterprise with us wherever we go, the evolution of enterprise security is now facing far more daunting challenges than the external security threats we focused on in the past.  This more open business environment is here to stay, and it requires a modern data security model, despite the fact that such a model could become the weakest link in enterprise security.

The Ghost of Enterprise Present asks many questions, but none more frightening than: Can the enterprise really be secured?

 

The Ghost of Enterprise Future

Of course, the T in IT wasn’t the only apparition previously invisible outside of the IT department to recently break through the veil in a big way.  The I in IT had its own coming-out party this year also since, as many predicted, 2012 was the year of Big Data.

Although neither the I nor the T is magic, instead of sugar plums, Data Psychics and Magic Elephants appear to be dancing in everyone’s heads this holiday season.  In other words, the predictive power of big data and the technological wizardry of Hadoop (as well as other NoSQL techniques) seem to be on the wish list of every enterprise for the foreseeable future.

However, despite its unquestionable potential, as its hype starts to settle down, the sobering realities of big data analytics will begin to sink in.  Data’s value comes from data’s usefulness.  If all we do is hoard data, then we’ll become so lost in the details that we’ll be unable to connect enough of the dots to discover meaningful patterns and convert big data into useful information that enables the enterprise to take action, make better decisions, or otherwise support its business activities.

Big data will force us to revisit information overload as we are occasionally confronted with the limitations of historical analysis, and blindsided by how our biases and preconceptions could silence the signal and amplify the noise, which will also force us to realize that data quality still matters in big data and that bigger data needs better data management.

As the Ghost of Enterprise Future, big data may haunt us with more questions than the many answers it will no doubt provide.

 

“Bah, Humbug!”

I realize that this post lacks the happy ending of A Christmas Carol.  To paraphrase Dickens, I endeavored in this ghostly little post to raise the ghosts of a few ideas, not to put my readers out of humor with themselves, with each other, or with the season, but simply to give them thoughts to consider about how to keep the Enterprise well in the new year.  Happy Holidays Everyone!

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

Related Posts

Why does the sun never set on legacy applications?

Are Applications the La Brea Tar Pits for Data?

The Diffusion of the Consumerization of IT

The Cloud is shifting our Center of Gravity

More Tethered by the Untethered Enterprise?

A Swift Kick in the AAS

The UX Factor

Sometimes all you Need is a Hammer

Shadow IT and the New Prometheus

The IT Consumerization Conundrum

OCDQ Radio - The Evolution of Enterprise Security

The Cloud Security Paradox

The Good, the Bad, and the Secure

The Weakest Link in Enterprise Security

Can the Enterprise really be Secured?

Magic Elephants, Data Psychics, and Invisible Gorillas

Big Data el Memorioso

Information Overload Revisited

The Limitations of Historical Analysis

Data Silence

Monday
Oct292012

The Evolution of Enterprise Security

This podcast episode is sponsored by the Enterprise CIO Forum and HP.

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

During this episode, Bill Laberis and I discuss the necessary evolution of enterprise security in the era of cloud computing and mobile devices.  Our discussion includes public, private, and hybrid clouds, leveraging existing security best practices, defining BYOD (Bring Your Own Device) policies, mobile device management, and striking a balance between convenience and security.

Bill Laberis is the Editorial Director of the Enterprise CIO Forum, in which capacity he oversees the content of both its US and international websites.  He is also Editorial Director and Social Media Manager in the IDG Custom Solutions Group, working closely with clients to create highly individualized custom content programs that leverage the wide range of media capabilities, including print, online, multimedia, and custom events.

Bill Laberis was editor-in-chief of Computerworld from 1986-1996, has been a frequent speaker and keynoter, and has written for various business publications including The Wall Street Journal.  He has been closely following the IT sector for 30 years.

 

The Evolution of Enterprise Security

Additional listening options:

This podcast episode is sponsored by the Enterprise CIO Forum and HP.

 

Related Posts

Can the Enterprise really be Secured?

Enterprise Security and Social Engineering

The Weakest Link in Enterprise Security

Enterprise Security is on Red Alert

Securing your Digital Fortress

The Good, the Bad, and the Secure

The Data Encryption Keeper

The Cloud Security Paradox

The Cloud is shifting our Center of Gravity

The Return of the Dumb Terminal

More Tethered by the Untethered Enterprise?

A Swift Kick in the AAS

Sometimes all you Need is a Hammer

Shadow IT and the New Prometheus

The Diffusion of the Consumerization of IT

Monday
Oct152012

Can the Enterprise really be Secured?

This blog post is sponsored by the Enterprise CIO Forum and HP.

Over the last two months, I have been blogging a lot about how enterprise security has become an even more important, and more complex, topic of discussion than it already was.  The days of the perimeter fence model being sufficient are long gone, and social media is helping social engineering more effectively attack the weakest links in an otherwise sound security model.

With the consumerization of IT allowing Shadow IT to emerge from the shadows and the cloud and mobile devices enabling the untethering of the enterprise from the physical boundaries that historically defined where the enterprise stopped and the outside world began, I have been more frequently pondering the question: Can the enterprise really be secured?

The cloud presents the conundrum of relying on non-enterprise resources for some aspects of enterprise security.  However, “one advantage of the cloud,” Judy Redman recently blogged, “is that it drives the organization to take a more comprehensive, and effective, approach to risk governance.”  Redman’s post includes four recommended best practices for stronger cloud security.

With the growing popularity of the mobile-app-portal-to-the-cloud business model, more enterprises are embracing mobile app development for deploying services to better support both their customers and their employees.  “Mobile apps,” John Jeremiah recently blogged, “are increasingly dependent on cloud services that the apps team didn’t build, the organization doesn’t own, and the ops team doesn’t even know about.”  Jeremiah’s post includes four things to consider for stronger mobile security.

Although it is essential for every enterprise to have a well-articulated security strategy, “it is important to understand that strategy is not policy,” John Burke recently blogged.  “Security strategy links corporate strategy overall to specific security policies; policies implement strategy.”  Burke’s post includes five concrete steps to take to build a security strategy and implement security policies.

With the very notion of an enterprise increasingly becoming more of a conceptual entity than a physical entity, enterprise security is becoming a bit of a misnomer.  However, the underlying concepts of enterprise security still need to be put into practice, and even more so now that, since the enterprise has no physical boundaries, the enterprise is everywhere, which means that everyone (employees, partners, suppliers, service providers, customers) will have to work together for “the enterprise” to really be secured.

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

Related Posts

Enterprise Security and Social Engineering

The Weakest Link in Enterprise Security

Enterprise Security is on Red Alert

Securing your Digital Fortress

The Good, the Bad, and the Secure

The Data Encryption Keeper

The Cloud Security Paradox

The Cloud is shifting our Center of Gravity

Are Cloud Providers the Bounty Hunters of IT?

The Return of the Dumb Terminal

More Tethered by the Untethered Enterprise?

A Swift Kick in the AAS

Sometimes all you Need is a Hammer

Shadow IT and the New Prometheus

The Diffusion of the Consumerization of IT

Thursday
Sep202012

Enterprise Security and Social Engineering

This blog post is sponsored by the Enterprise CIO Forum and HP.

“100 percent security no longer exists in the digital world,” Christian Verstraete recently blogged.  “Many companies have to recognize that they have not developed a proactive enough security strategy.  They also have to recognize that they have not put the appropriate procedures in place to cope with a security breach when it happens.  Instead, they are in reactive mode.”

In my previous post, I blogged about how although any proactive security strategy can only be as strong as its weakest link, the weakest link in your enterprise security could actually be the protocols enacted in the event of an apparent security breach.

“We are confronted with a world where employees bring their own devices and use them for both their private and their business lives,” Verstraete continued.  “As our world is getting increasingly integrated, and as social media is used by enterprises to reach their customers and prospects, we need to train our people to ensure they are watchful for social engineering.”

The book Social Engineering: The Art of Human Hacking by Chris Hadnagy, the lead developer of Social-Engineer.org, defines social engineering as “the act of manipulating a person to take an action that may or may not be in their best interest.”

“While software companies are learning how to strengthen their programs,” Hadnagy explained, “hackers and malicious social engineers are turning to the weakest part of the infrastructure — the people.  The motivation is all about return on investment.  No self-respecting hacker is going to spend 100 hours to get the same results from a simple attack that takes one hour, or less.”

“Denial, ignorance, or the overwhelming nature of threats and vulnerabilities are all causes of a lack of focus,” Ken Larson recently blogged.  “In this age of IT, the threats and vulnerabilities raised by mobility, social networking, cloud computing, and the sharing of IT resources between enterprises must be added to the traditional threats that we’ve focused on for years.”

As I have previously blogged, traditional approaches focus mainly on external security threats, which nowadays is like fortifying your physical barriers while ignoring the cloud floating over them and the mobile devices walking around them.  The more open business environment enabled by cloud and mobile technologies is here to stay, and it requires a modern data security model.

“Proactively define your security strategy,” Verstraete concluded.  “Decide what an acceptable risk level is.  Choose and implement tools and procedures accordingly, and train, train, train your employees.”  I definitely agree that employee training is essential to strengthening your enterprise security, and especially training your employees to understand the principles of social engineering.

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

Related Posts

The Weakest Link in Enterprise Security

Enterprise Security is on Red Alert

Securing your Digital Fortress

The Good, the Bad, and the Secure

The Data Encryption Keeper

The Cloud Security Paradox

The Cloud is shifting our Center of Gravity

Are Cloud Providers the Bounty Hunters of IT?

The Return of the Dumb Terminal

A Swift Kick in the AAS

Sometimes all you Need is a Hammer

Shadow IT and the New Prometheus

Thursday
Sep062012

The Weakest Link in Enterprise Security

This blog post is sponsored by the Enterprise CIO Forum and HP.

As a recent Techopedia article noted, one of the biggest challenges for IT security these days is finding a balance among three overarching principles: availability (i.e., that information is accessible when authorized users need it), confidentiality (i.e., that information is only being seen or used by people who are authorized to access it), and integrity (i.e., that any changes to information by an unauthorized user are impossible — or at least detected — and changes by authorized users are tracked).

Finding this balance has always been a complex challenge for enterprise security since the tighter you lock an IT system down, the harder it can become to use for daily business activities, which sometimes causes usability to be prioritized over security.

“I believe those who think security isn’t a general IT priority are wrong,” Rafal Los recently blogged in a post about the role of Chief Information Security Officer (CISO).  “Pushing the security agenda ahead of doing business seems to be something poor CISOs are known for, which creates a backlash of executive push-back against security in many organizations.”

According to Los, IT leaders need to balance the business enablement of IT with the need to keep information secure, which requires better understanding both business risks and IT threats, and allowing the organization to execute its business goals in a tactical fashion while simultaneously working out the long-term enterprise security strategy.

Although any security strategy is only as strong as its weakest link, the weakest link in enterprise security might not be where you’d expect to find it.  A good example of this came from perhaps the biggest personal data security disaster story of the year, the epic hacking of Mat Honan, during which, as he described it, “in the space of one hour, my entire digital life was destroyed.”

The biggest lesson learned was not the lack of a good security strategy (though that obviously played a part, not only with Honan personally, but also with the vendors involved).  Instead, the lesson was that the weakest link in any security strategy might be its recovery procedures — and that hackers don’t need to rely on Hollywood-style techno-wizardry to overcome security protocols.

Organizations are rightfully concerned about mobile devices containing sensitive data getting stolen — in fact, many make use of the feature provided by Apple that enables you to remotely delete data on your iPhone, iPad, and MacBook in the event of theft.

In Honan’s case, the hackers exploited this feature by accessing his Apple iCloud account (for the details of how that happened, read his blog post), wiping clean his not-stolen mobile devices, resetting his passwords, including for his email accounts, which prevented him from receiving any security warnings and password reset notifications, and bought the hackers the time needed to redirect everything — essentially all by doing what Honan would have done if his mobile devices had actually been stolen.

The hackers also deleted all of Honan’s data stored in the cloud, which was devastating since he had no off-line backups (yes, he admits that’s his fault).  Before you’re tempted to use this as a cloud-bashing story, as Honan blogged in a follow-up post about how he resurrected his digital life, “when my data died, it was the cloud that killed it.  The triggers hackers used to break into my accounts and delete my files were all cloud-based services — iCloud, Google, and Amazon.  Some pundits have latched onto this detail to indict our era of cloud computing.  Yet just as the cloud enabled my disaster, so too was it my salvation.”

Although most security strategies are focused on preventing a security breach from happening, as the Honan story exemplifies, the weakest link in your enterprise security could actually be the protocols enacted in the event of an apparent security breach.

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

Related Posts

Enterprise Security is on Red Alert

Securing your Digital Fortress

The Good, the Bad, and the Secure

The Data Encryption Keeper

The Cloud Security Paradox

The Cloud is shifting our Center of Gravity

Are Cloud Providers the Bounty Hunters of IT?

The Return of the Dumb Terminal

The UX Factor

A Swift Kick in the AAS

Sometimes all you Need is a Hammer

Shadow IT and the New Prometheus

Thursday
Aug232012

Enterprise Security is on Red Alert

This blog post is sponsored by the Enterprise CIO Forum and HP.

Enterprise security is becoming an even more important, and more complex, topic of discussion than it already was.  Especially when an organization focuses mostly on preventing external security threats, which is somewhat like, as in the photo to the left, telling employees to keep the gate closed but ignore the cloud floating over the gate and the mobile devices walking around it.

But that doesn’t mean we need to build bigger and better gates.  The more open business environment enabled by cloud and mobile technologies is here to stay, and it requires a modern data security model that can protect us from the bad without being overprotective to the point of inhibiting the good.

“Security controls cost money and have an impact on the bottom line,” Gideon Rasmussen recently blogged.  Therefore, “business management may question the need for controls beyond minimum compliance requirements.  However, adherence to compliance requirements, control frameworks, and best practices may not adequately protect sensitive or valuable information because they are not customized to the unique aspects of your organization.”

This lack of a customized security solution can also be introduced when leveraging cloud providers.  “Transparency is the capability to look inside the operational day-to-day activity of your cloud provider,” Rafal Los recently blogged.  “As a consumer, transparency means that I have audit-ability of the controls, systems, and capabilities that directly impact my consumed service.”

A further complication for enterprise security is that many cloud-based services are initiated as Shadow IT projects.  “There are actually good reasons why you may want to take a hard look at Shadow IT, as it may fundamentally put you at risk of breaching compliance,” Christian Verstraete recently blogged.  “Talking to business users, I’m often flabbergasted by how little they know of the potential risks encountered by putting information in the public cloud.”

In the science fiction universe of Star Trek, the security officers aboard the starship Enterprise, who wore red shirts, often quickly died on away missions.  Protecting your data, especially when it goes on away missions in the cloud or on mobile devices, requires your enterprise security to be on red alert — otherwise everyone in your organization might as well be wearing a red shirt.

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

Related Posts

Securing your Digital Fortress

The Good, the Bad, and the Secure

The Data Encryption Keeper

The Cloud Security Paradox

The Cloud is shifting our Center of Gravity

Are Cloud Providers the Bounty Hunters of IT?

The Return of the Dumb Terminal

The UX Factor

A Swift Kick in the AAS

Sometimes all you Need is a Hammer

Shadow IT and the New Prometheus

The Diffusion of the Consumerization of IT

Monday
Jul022012

Saving Private Data

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

This episode is an edited rebroadcast of a segment from the OCDQ Radio 2011 Year in Review, during which Daragh O Brien and I discuss the data privacy and data protection implications of social media, cloud computing, and big data.

Daragh O Brien is one of Ireland’s leading Information Quality and Governance practitioners.  After being born at a young age, Daragh has amassed a wealth of experience in quality information driven business change, from CRM Single View of Customer to Regulatory Compliance, to Governance and the taming of information assets to benefit the bottom line, manage risk, and ensure customer satisfaction.  Daragh O Brien is the Managing Director of Castlebridge Associates, one of Ireland’s leading consulting and training companies in the information quality and information governance space.

Daragh O Brien is a founding member and former Director of Publicity for the IAIDQ, which he is still actively involved with.  He was a member of the team that helped develop the Information Quality Certified Professional (IQCP) certification and he recently became the first person in Ireland to achieve this prestigious certification.

In 2008, Daragh O Brien was awarded a Fellowship of the Irish Computer Society for his work in developing and promoting standards of professionalism in Information Management and Governance.

Daragh O Brien is a regular conference presenter, trainer, blogger, and author with two industry reports published by Ark Group, the most recent of which is The Data Strategy and Governance Toolkit.

You can also follow Daragh O Brien on Twitter and connect with Daragh O Brien on LinkedIn.

 

Saving Private Data

Additional listening options:

 

Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

  • Data Quality and Big Data — Guest Tom Redman (aka the “Data Doc”) discusses Data Quality and Big Data, including if data quality matters less in larger data sets, and if statistical outliers represent business insights or data quality issues.
  • Data Governance Star Wars — Special Guests Rob Karel and Gwen Thomas joined this extended, and Star Wars themed, discussion about how to balance bureaucracy and business agility during the execution of data governance programs.
  • Social Media Strategy — Guest Crysta Anderson of IBM Initiate explains social media strategy and content marketing, including three recommended practices: (1) Listen intently, (2) Communicate succinctly, and (3) Have fun.
  • The Fall Back Recap Show — A look back at the Best of OCDQ Radio, including discussions about Data, Information, Business-IT Collaboration, Change Management, Big Analytics, Data Governance, and the Data Revolution.

Monday
Oct242011

The Data Encryption Keeper

This blog post is sponsored by the Enterprise CIO Forum and HP.

Since next week is Halloween, and Rafal Los recently blogged about how most enterprise security discussions are FUD-filled (i.e., filled with Fear, Uncertainty, and Doubt) horror stories, I decided to use Tales from the Crypt as the theme for this blog post.

 

Tales from the Encrypted

One frightening consequence of the unrelenting trend of the consumerization of IT, especially cloud computing and mobility, is that not all of the organization’s data is stored within its on-premises technology infrastructure, or accessed using devices under its control.  With an increasing percentage of enterprise data constantly in motion as a moving target in a sometimes horrifyingly hyper-connected world, data protection and data privacy are legitimate concerns and increasingly complex challenges.

Cryptography has a long history that predates the Information Age, but data encryption via cryptographic computer algorithms has played a key (sorry, I couldn’t resist the pun) role in the history of securing the organization’s data.  But instead of trying to fight the future of business being enabled by cloud and mobile technologies like it was the Zombie Data-pocalypse, we need a modern data security model that can remain good for business, but ghoulish for the gremlins, goblins, and goons of cyber crime.

Although some rightfully emphasize the need for stronger authentication to minimize cloud breaches, data encryption is often overlooked—especially who should be responsible for it.  Most cloud providers use vendor-side encryption models, meaning that their customers transfer non-encrypted data to the cloud, where the cloud vendor then becomes responsible for data encryption.

 

The Data Encryption Keeper

However, as Richard Jarvis commented on my previous post, “it’s only a matter of time before there’s a highly public breakdown in the vendor-side encryption model.  Long term, I expect to see an increase in premium, client-side encryption services targeted at corporate clients.  To me, this will offer the best of both worlds, and will benefit both cloud vendors and their clients.”

I have to admit that in my own security assessments of cloud computing solutions, I have verified that the cloud vendor was using strong data encryption methods, but I didn’t consider that the responsibility for cloud data encryption might be misplaced.

So perhaps one way to prevent the cloud from becoming a haunted house for data is to pay more attention to who is cast to play the role of the Data Encryption Keeper.  And perhaps the casting call for this data security role should stay on-premises.

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

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Monday
Oct172011

The Cloud Security Paradox

This blog post is sponsored by the Enterprise CIO Forum and HP.

Nowadays it seems like any discussion about enterprise security inevitably becomes a discussion about cloud security.  Last week, as I was listening to John Dodge and Bob Gourley discuss recent top cloud security tweets on Enterprise CIO Forum Radio, the story that caught my attention was the Network World article by Christine Burns, part of a six-part series on cloud computing, which had a provocative title declaring that public cloud security remains Mission Impossible.

“Cloud security vendors and cloud services providers have a long way to go,” Burns wrote, “before enterprise customers will be able to find a comfort zone in the public cloud, or even in a public/private hybrid deployment.”  Although I agree with Burns, and I highly recommend reading her entire excellent article, I have always been puzzled by debates over cloud security.

A common opinion is that cloud-based solutions are fundamentally less secure than on-premises solutions.  Some critics even suggest cloud-based solutions can never be secure.  I don’t agree with either opinion because to me it’s all a matter of perspective.

Let’s imagine that I am a cloud-based service provider selling solutions leveraging my own on-premises resources, meaning that I own and operate all of the technology infrastructure within the walls of my one corporate office.  Let’s also imagine that in addition to the public cloud solution that I sell to my customers, I have built a private cloud solution for some of my employees (e.g., salespeople in the field), and that I also have other on-premises systems (e.g., accounting) not connected to any cloud.

Since all of my solutions are leveraging the exact same technology infrastructure, if it is impossible to secure my public cloud, then it logically follows that not only is it impossible to secure my private cloud, but it is also impossible to secure my on-premises systems as well.  Therefore, all of my security must be Mission Impossible.  I refer to this as the Cloud Security Paradox.

Some of you will argue that my scenario was oversimplified, since most cloud-based solutions, whether public or private, may include technology infrastructure that is not under my control, and may be accessed using devices that are not under my control.

Although those are valid security concerns, they are not limited to—nor were they created by—cloud computing, because with the prevalence of smart phones and other mobile devices, those security concerns exist for entirely on-premises solutions as well.

In my opinion, cloud-based versus on-premises, public cloud versus private cloud, and customer access versus employee access, are all oversimplified arguments.  Regardless of the implementation strategy, technology infrastructure and especially your data needs to be secured wherever it is, however it is accessed, and with the appropriate levels of control over who can access what.

Fundamentally, the real problem is a lack of well-defined, well-implemented, and well-enforced security practices.  As Burns rightfully points out, a significant challenge with cloud-based solutions is that “public cloud providers are notoriously unwilling to provide good levels of visibility into their underlying security practices.”

However, when the cost savings and convenience of cloud-based solutions are accepted without a detailed security assessment, that is not a fundamental flaw of cloud computing—that is simply a bad business decision.

Let’s stop blaming poor enterprise security practices on the adoption of cloud computing.

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

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Monday
Sep262011

The Good, the Bad, and the Secure

This blog post is sponsored by the Enterprise CIO Forum and HP.

A previous post examined the data aspects of enterprise security, which requires addressing both outside-in and inside-out risks.

Most organizations tend to both overemphasize and oversimplify outside-in data security using a perimeter fence model, which, as Doug Newdick commented, “implicitly treats all of your information system assets as equivalent from a security and risk perspective, when that is clearly not true.”  Different security levels are necessary for different assets, and therefore a security zone model makes more sense, where you focus more on securing specific data or applications, and less on securing the perimeter.

“I think that these sorts of models will become more prevalent,” Newdick concluded, “as we face the proliferation of different devices and platforms in the enterprise, and the sort of Bring Your Own Device approaches that many organizations are examining.  If you don’t own or manage your perimeter, securing the data or application itself becomes more important.”

Although there’s also a growing recognition that inside-out data security needs to be improved, “it’s critical that organizations recognize the internal threat can’t be solved solely via policy and process,” commented Richard Jarvis, who recommended an increase in the internal use of two-factor authentication, as well as the physical separation of storage so highly confidential data is more tightly restricted within a dedicated hardware infrastructure.

As Rafal Los recently blogged, the costs of cyber crime continue to rise.  Although the fear of a cloud security breach is the most commonly expressed concern, Judy Redman recently blogged about how cyber crime doesn’t only happen in the cloud.  With the growing prevalence of smart phones, tablet PCs, and other mobile devices, data security in our hyper-connected world requires, as John Dodge recently blogged, that organizations also institute best practices for mobile device security.

Cloudsocial, and mobile technologies “make business and our life more enriched,” commented Pearl Zhu, “but on the other hand, this open environment makes the business environment more vulnerable from the security perspective.”  In other words, this open environment, which some have described as a multi-dimensional attack space, is good for business, but bad for security.

Most organizations already spend a fistful of dollars on enterprise security, but they may need to budget for a few dollars more because the digital age is about the good, the bad, and the secure.  In other words, we have to take the good with the bad in the more open business environment enabled by cloud, mobile, and social technologies, which requires a modern data security model that can protect us from the bad without being overprotective to the point of inhibiting the good.

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

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Tuesday
Sep132011

Securing your Digital Fortress

This blog post is sponsored by the Enterprise CIO Forum and HP.

Although its cyber-security plot oversimplifies some technology aspects of data encryption, the Dan Brown novel Digital Fortress is an enjoyable read.  The digital fortress of the novel was a computer program thought capable of creating an unbreakable data encryption algorithm, but it’s later discovered the program is capable of infiltrating and dismantling any data security protocol.

The data aspects of enterprise security are becoming increasingly prevalent topics of discussion within many organizations, which are pondering how secure their digital fortress actually is.  In other words, whether or not their data assets are truly secure.

Most organizations focus almost exclusively on preventing external security threats, using a data security model similar to building security, where security guards make sure that only people with valid security badges are allowed to enter the building.  However, once you get past the security desk, you have mostly unrestricted access to all areas inside the building.

As Bryan Casey recently blogged, the data security equivalent is referred to as “Tootsie Pop security,” the practice of having a hard, crunchy, security exterior, but with a soft security interior.  In other words, once you enter a valid user name and password, or as a hacker you obtain or create one, you have mostly unrestricted access to all databases inside the organization.

Although hacking is a real concern, this external focus could cause companies to turn a blind eye to internal security threats.

“I think the real risk is not the outside threat in,” explained Joseph Spagnoletti, “it’s more the inside threat out.”  As more data is available to more people within the organization, and with more ways to disseminate data more quickly, data security risks can be inadvertently created when sharing data outside of the organization, perhaps in the name of customer service or marketing.

A commonly cited additional example of an inside-out threat is cloud security, especially the use of public or community clouds for collaboration and social networking.  The cloud complicates data security in the sense that not all of the organization’s data is stored within its physical fortresses of buildings and on-premises computer hardware and software.

However, it must be noted that mobility is likely an even greater inside-out data security threat than cloud computing.  Laptops have long been the primary antagonist in the off-premises data security story, but with the growing prevalence of smart phones, tablet PCs, and other mobile devices, the digital fortress is now constantly in motion, a moving target in a hyper-connected world.

So how do organizations institute effective data security protocols in the digital age?  Can the digital fortress truly be secured?

“The key to data security, and really all security,” Bryan Casey concluded, “is the ability to affect outcomes.  It’s not enough to know what’s happening, or even what’s happening right now.  You need to know what’s happening right now and what actions you can take to protect yourself and your organization.”

What actions are you taking to protect yourself and your organization?  How are you securing your digital fortress?

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

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