Welcome!

Java IoT Authors: Elizabeth White, Craig Lowell, Greg O'Connor, Sematext Blog, Pat Romanski

News Feed Item

Dataguise Presents 10 Best Practices for Securing Sensitive Data in Hadoop

Guidance Aimed at Protecting Hadoop Deployments Against Data Exposure Risks

FREMONT, CA -- (Marketwired) -- 04/03/13 -- Dataguise (http://www.dataguise.com), a leading innovator of data security intelligence and protection solutions, today released ten security best practices for organizations considering or implementing Hadoop. By following these procedures to manage privacy risk, data management and security, professionals can prevent costly exposure of sensitive data, reduce their risk profile and better adhere to compliance mandates. With Hadoop security deployments among the Fortune 200, Dataguise has developed these practices and procedures from significant experience in securing these large and diverse environments.

The explosion in information technology tools and capabilities has enabled advanced analytics using Big Data. However, the benefits of this new technology area are often coupled with data privacy issues. In these large information repositories, personally identifiable information (PII), such as names, addresses and social security numbers may exist. Financial data such as credit card and account numbers might also be found in large volumes across these environments and pose serious concerns related to access. Through careful planning, testing, pre-production preparation and the appropriate use of technology, much of these concerns can be alleviated.

The following 10 Hadoop Security Best Practices provide valuable guidance throughout Hadoop project implementations, but are especially important in the early planning stages:

1. Start Early! Determine the data privacy protection strategy during the planning phase of a deployment, preferably before moving any data into Hadoop. This will prevent the possibility of damaging compliance exposure for the company and avoid unpredictability in the roll out schedule.
2. Identify what data elements are defined as sensitive within your organization. Consider company privacy policies, pertinent industry regulations and governmental regulations.
3. Discover whether sensitive data is embedded in the environment, assembled or will be assembled in Hadoop.
4. Determine the compliance exposure risk based on the information collected.
5. Determine whether business analytic needs require access to real data or if desensitized data can be used. Then, choose the right remediation technique (masking or encryption). If in doubt, remember that masking provides the most secure remediation while encryption provides the most flexibility, should future needs evolve.
6. Ensure the data protection solutions under consideration support both masking and encryption remediation techniques, especially if the goal is to keep both masked and unmasked versions of sensitive data in separate Hadoop directories.
7. Ensure the data protection technology used implements consistent masking across all data files (Joe becomes Dave in all files) to preserve the accuracy of data analysis across every data aggregation dimensions.
8. Determine whether a tailored protection for specific data sets is required and consider dividing Hadoop directories into smaller groups where security can be managed as a unit.
9. Ensure the selected encryption solution interoperates with the company's access control technology and that both allow users with different credentials to have the appropriate, selective access to data in the Hadoop cluster.
10. Ensure that when encryption is required, the proper technology (Java, Pig, etc.) is deployed to allow for seamless decryption and ensure expedited access to data.

By starting early and establishing processes that define sensitive data, detect that data in the Hadoop environment, analyze the risk exposure and assign the proper data protection using either masking or encryption, enterprises can remain confident their data is protected from unauthorized access. In following these guidelines, data management, security and compliance officers cognizant of the sensitive information in Hadoop can not only lower exposure risks, but increase performance for a greater return on Big Data initiatives.

"Thousands of firms are working on big data projects, from small startups to large enterprises. New technologies enable any company to collect, manage, and analyze incredibly large data sets. As these systems become more common, the repositories are increasingly likely to be stuffed with sensitive data," said Adrian Lane, Analyst and CTO, Securosis. "Only after companies find themselves reliant on Big Data do they ask how to secure it. Having a plan in place to secure these unique environments during the planning phase is essential."

"Enforcing security and compliance in Hadoop is not a simple matter and requires the right combination of people, processes and technology. The best practices presented here illuminate the important procedures required to maintain data privacy of sensitive data stored in Hadoop. As indicated above, it is critical that organizations place priority on protecting the data first to provide a strong line of defense against unlawful exposures before moving forward," said Manmeet Singh, CEO, Dataguise. "With significant experience in securing Fortune 200 environments, we encourage practitioners to consult with experts when data exposure and non-compliance is not an option. This is the value beyond software provided by Dataguise."

Built for enterprise deployments of Hadoop, DG for Hadoop™ helps evaluate exposure risks and enforces the most appropriate remediation to prevent unauthorized access to sensitive data. This protects organizations against severe financial penalties and the negative impacts to brand that can result from exposure. The solution allows the user to define and detect the data in a Hadoop installation that is sensitive in nature (credit card numbers, social security numbers, account numbers, personally identifiable information, etc.), analyze the company's risk from the exposure of that data and protect the information with masking or encryption so the data can be used safely.

Tweet this: @Dataguise Highlights 10 Best Practices for Securing Sensitive Data in Hadoop - http://bit.ly/9nKnZX

Follow Dataguise on Twitter at: http://twitter.com/dataguise

About Dataguise
Dataguise is the leading provider of data privacy protection and compliance intelligence for sensitive data assets stored in both Big Data and traditional repositories. Dataguise's comprehensive and centrally managed solutions allow companies to maintain a 360 degree view of their sensitive data, evaluate their compliance exposure risks, and enforce the most appropriate remediation policies, whether the data is stored on premises or in the cloud.

Agency Contact:
Joe Austin
The Ventana Group
(818) 332-6166
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

@ThingsExpo Stories
Why do your mobile transformations need to happen today? Mobile is the strategy that enterprise transformation centers on to drive customer engagement. In his general session at @ThingsExpo, Roger Woods, Director, Mobile Product & Strategy – Adobe Marketing Cloud, covered key IoT and mobile trends that are forcing mobile transformation, key components of a solid mobile strategy and explored how brands are effectively driving mobile change throughout the enterprise.
With so much going on in this space you could be forgiven for thinking you were always working with yesterday’s technologies. So much change, so quickly. What do you do if you have to build a solution from the ground up that is expected to live in the field for at least 5-10 years? This is the challenge we faced when we looked to refresh our existing 10-year-old custom hardware stack to measure the fullness of trash cans and compactors.
The emerging Internet of Everything creates tremendous new opportunities for customer engagement and business model innovation. However, enterprises must overcome a number of critical challenges to bring these new solutions to market. In his session at @ThingsExpo, Michael Martin, CTO/CIO at nfrastructure, outlined these key challenges and recommended approaches for overcoming them to achieve speed and agility in the design, development and implementation of Internet of Everything solutions wi...
Cloud computing is being adopted in one form or another by 94% of enterprises today. Tens of billions of new devices are being connected to The Internet of Things. And Big Data is driving this bus. An exponential increase is expected in the amount of information being processed, managed, analyzed, and acted upon by enterprise IT. This amazing is not part of some distant future - it is happening today. One report shows a 650% increase in enterprise data by 2020. Other estimates are even higher....
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no id...
Smart Cities are here to stay, but for their promise to be delivered, the data they produce must not be put in new siloes. In his session at @ThingsExpo, Mathias Herberts, Co-founder and CTO of Cityzen Data, will deep dive into best practices that will ensure a successful smart city journey.
DevOps at Cloud Expo, taking place Nov 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 19th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long dev...
Identity is in everything and customers are looking to their providers to ensure the security of their identities, transactions and data. With the increased reliance on cloud-based services, service providers must build security and trust into their offerings, adding value to customers and improving the user experience. Making identity, security and privacy easy for customers provides a unique advantage over the competition.
SYS-CON Events announced today that 910Telecom will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Housed in the classic Denver Gas & Electric Building, 910 15th St., 910Telecom is a carrier-neutral telecom hotel located in the heart of Denver. Adjacent to CenturyLink, AT&T, and Denver Main, 910Telecom offers connectivity to all major carriers, Internet service providers, Internet backbones and ...
Almost two-thirds of companies either have or soon will have IoT as the backbone of their business in 2016. However, IoT is far more complex than most firms expected. How can you not get trapped in the pitfalls? In his session at @ThingsExpo, Tony Shan, a renowned visionary and thought leader, will introduce a holistic method of IoTification, which is the process of IoTifying the existing technology and business models to adopt and leverage IoT. He will drill down to the components in this fra...
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 19th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devices - comp...
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, will discuss the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
There is growing need for data-driven applications and the need for digital platforms to build these apps. In his session at 19th Cloud Expo, Muddu Sudhakar, VP and GM of Security & IoT at Splunk, will cover different PaaS solutions and Big Data platforms that are available to build applications. In addition, AI and machine learning are creating new requirements that developers need in the building of next-gen apps. The next-generation digital platforms have some of the past platform needs a...
19th Cloud Expo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterpri...
SYS-CON Events announced today Telecom Reseller has been named “Media Sponsor” of SYS-CON's 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Pulzze Systems was happy to participate in such a premier event and thankful to be receiving the winning investment and global network support from G-Startup Worldwide. It is an exciting time for Pulzze to showcase the effectiveness of innovative technologies and enable them to make the world smarter and better. The reputable contest is held to identify promising startups around the globe that are assured to change the world through their innovative products and disruptive technologies. There w...
The 19th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportuni...
I wanted to gather all of my Internet of Things (IOT) blogs into a single blog (that I could later use with my University of San Francisco (USF) Big Data “MBA” course). However as I started to pull these blogs together, I realized that my IOT discussion lacked a vision; it lacked an end point towards which an organization could drive their IOT envisioning, proof of value, app dev, data engineering and data science efforts. And I think that the IOT end point is really quite simple…
Personalization has long been the holy grail of marketing. Simply stated, communicate the most relevant offer to the right person and you will increase sales. To achieve this, you must understand the individual. Consequently, digital marketers developed many ways to gather and leverage customer information to deliver targeted experiences. In his session at @ThingsExpo, Lou Casal, Founder and Principal Consultant at Practicala, discussed how the Internet of Things (IoT) has accelerated our abil...
Is the ongoing quest for agility in the data center forcing you to evaluate how to be a part of infrastructure automation efforts? As organizations evolve toward bimodal IT operations, they are embracing new service delivery models and leveraging virtualization to increase infrastructure agility. Therefore, the network must evolve in parallel to become equally agile. Read this essential piece of Gartner research for recommendations on achieving greater agility.