Welcome!

Cloud Expo Authors: Pat Romanski, Dana Gardner, Liz McMillan, Elizabeth White, Vormetric Blog

Related Topics: Cloud Expo, Java, SOA & WOA, Linux, Security, Big Data Journal

Cloud Expo: Blog Feed Post

Four Great Tips: Cloud Security for Big Data

The combination of cloud computing and big data is a match made in heaven

The combination of cloud computing and big data is a match made in heaven. Big data requires a flexible compute environment, which can scale quickly and automatically to support massive amounts of data. Infrastructure clouds provide exactly that. But whenever cloud computing is discussed, the question comes up:

cloud security best practices Cloud Security big data  big data news cloud security 4 Great Tips: Cloud Security for Big Data

What about cloud security for big data?

When it comes to cloud security in a big data use case, the expectation is that any security solution will provide the same flexibility as the cloud without compromising the overall security of the implementation. When taking your big data to the cloud, the following four tips will enable you to achieve cloud flexibility paired with strict cloud security.

1.  Encrypt sensitive data (seriously)

Data encryption creates the “virtual walls” for your cloud infrastructure. Deploying cloud encryption is considered a fundamental first step, but there is no solution with a “one size fits all” approach. Some encryption solutions require on premise gateway encryption, which does not work well in cloud big-data scenarios.  Other approaches (for example, data encryption powered by the cloud provider itself) force the end user to trust someone else with the encryption keys, which is both risky and a compliance deal-breaker.

Recent encryption technologies, like split-key encryption, are tailored specifically to the cloud and leverage the best of both worlds by providing an infrastructure cloud solution while keeping the encryption keys safe and in the hands of the customer.

To achieve the best possible encryption for your big data scenario, use split-key encryption.

2. Look for cloud security solutions that can architecturally scale

In big data, each component of the architecture should scale, and the cloud security solution is no different. When selecting a cloud security solution, make sure it is available across all relevant cloud geo-locations. Furthermore, it must scale effectively with your big data infrastructure.

On the surface level, this means, of course, that hardware cannot be involved.  Hardware Security Modules (HSMs) do not fit the big data use case because of the inability to scale and flex to fit the cloud model.

To achieve the necessary scalability, use a cloud security solution that is designed for the cloud, but achieves security that is comparable to (or better than) hardware-based solutions.

3. Automate as much as possible

Big data cloud computers are frustrated from the fact that their cloud security architecture does not easily scale (see tip #2). Traditional encryption solutions require an HSM (hardware) element. Needless to say, hardware implementation cannot be automated.

To be able to automate as much of your cloud security as possible, strive for a virtual appliance approach, not a hardware approach.  Also, make sure that a usable API (ideally a RESTful API) is available as part of the cloud security offering.

A virtual appliance plus RESTful API will enable the required flexibility and automation needed in a cloud big data use case.

4. Do not compromise on data security

Because cloud security is often complicated, we see “security shortcuts” in big data implementations. Security shortcuts are usually taken to avoid complexity and maintain the big data architecture “unharmed.”

Some customers use freeware encryption tools and keep the encryption key on disk (which is highly insecure and may expose the encrypted data to anyone with access to the virtual disk), while others simply do not encrypt. These shortcuts are certainly not complicated, but, obviously, they are also not secure.

When it comes to big data security, map your data according to its sensitivity and protect it accordingly. In some cases, the consequences are dramatic. Not all big data infrastructure is secure, and one might need to find an alternative, if the data at stake is regulated or sensitive.

Cloud security for big data is available

Big data can continue to enjoy the scalability, flexibility, and automation offered by cloud computing while maintaining the strictest security standards for the data.  Encryption is considered a fundamental first step in protecting cloud (big) data, and new technologies such as split-key encryption and homomorphic key management should be leveraged to protect sensitive data and comply with regulations like HIPAA, PCI, and many others.

The post 4 Great Tips: Cloud Security for Big Data appeared first on Porticor Cloud Security.

Read the original blog entry...

More Stories By Gilad Parann-Nissany

Gilad Parann-Nissany, Founder and CEO at Porticor is a pioneer of Cloud Computing. He has built SaaS Clouds for medium and small enterprises at SAP (CTO Small Business); contributing to several SAP products and reaching more than 8 million users. Recently he has created a consumer Cloud at G.ho.st - a cloud operating system that delighted hundreds of thousands of users while providing browser-based and mobile access to data, people and a variety of cloud-based applications. He is now CEO of Porticor, a leader in Virtual Privacy and Cloud Security.

@CloudExpo Stories
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series dat...
15th Cloud Expo, which took place Nov. 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA, expanded the conference content of @ThingsExpo, Big Data Expo, and DevOps Summit to include two developer events. IBM held a Bluemix Developer Playground on November 5 and ElasticBox held a Hackathon on November 6. Both events took place on the expo floor. The Bluemix Developer Playground, for developers of all levels, highlighted the ease of use of Bluemix, its services and functionalit...
Today’s enterprise is being driven by disruptive competitive and human capital requirements to provide enterprise application access through not only desktops, but also mobile devices. To retrofit existing programs across all these devices using traditional programming methods is very costly and time consuming – often prohibitively so. In his session at @ThingsExpo, Jesse Shiah, CEO, President, and Co-Founder of AgilePoint Inc., discussed how you can create applications that run on all mobile ...
In her General Session at 15th Cloud Expo, Anne Plese, Senior Consultant, Cloud Product Marketing, at Verizon Enterprise, focused on finding the right mix of renting vs. buying Oracle capacity to scale to meet business demands, and offer validated Oracle database TCO models for Oracle development and testing environments. Anne Plese is a marketing and technology enthusiast/realist with over 19+ years in high tech. At Verizon Enterprise, she focuses on driving growth for the Verizon Cloud platfo...
At 15th Cloud Expo, Shrikant Pattathil, Executive Vice President at Harbinger Systems, demos a video delivery platform that helps you do interactive videos. He discusses how Harbinger is accomplishing it in the cloud world, the problems they faced and the choices they made to get around these problems.
Between the compelling mockups and specs produced by your analysts and designers, and the resulting application built by your developers, there is a gulf where projects fail, costs spiral out of control, and applications fall short of requirements. In his session at DevOps Summit, Charles Kendrick, CTO and Chief Architect at Isomorphic Software, will present a new approach where business and development users collaborate – each using tools appropriate to their goals and expertise – to build mo...
There is no doubt that Big Data is here and getting bigger every day. Building a Big Data infrastructure today is no easy task. There are an enormous number of choices for database engines and technologies. To make things even more challenging, requirements are getting more sophisticated, and the standard paradigm of supporting historical analytics queries is often just one facet of what is needed. As Big Data growth continues, organizations are demanding real-time access to data, allowing immed...
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using ...
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial C...
Things are being built upon cloud foundations to transform organizations. This CEO Power Panel at 15th Cloud Expo, moderated by Roger Strukhoff, Cloud Expo and @ThingsExpo conference chair, addressed the big issues involving these technologies and, more important, the results they will achieve. Rodney Rogers, chairman and CEO of Virtustream; Brendan O'Brien, co-founder of Aria Systems, Bart Copeland, president and CEO of ActiveState Software; Jim Cowie, chief scientist at Dyn; Dave Wagstaff, VP ...
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happe...
"For the past 4 years we have been working mainly to export. For the last 3 or 4 years the main market was Russia. In the past year we have been working to expand our footprint in Europe and the United States," explained Andris Gailitis, CEO of DEAC, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The 4th International DevOps Summit, co-located with16th International Cloud Expo – being held June 9-11, 2015, at the Javits Center in New York City, NY – announces that its Call for Papers is now open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's large...
Over the past year, Datical has had amazing success with our flagship product, Datical DB. We’ve seen multiple visionary, sector-leading companies select Datical DB to drive their Application Schema changes. Now that the number has grown rapidly over the past year, we can begin to see patterns in why customers choose Datical DB. One of them turns out to be pretty emblematic of our other customers. So, let's examine the reasons why they chose to adopt Datical DB.
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, ...
"ElasticBox is an enterprise company that makes it very easy for developers and IT ops to collaborate to develop, build and deploy applications on any cloud - private, public or hybrid," stated Monish Sharma, VP of Customer Success at ElasticBox, in this SYS-CON.tv interview at DevOps Summit, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
“DevOps is really about the business. The business is under pressure today, competitively in the marketplace to respond to the expectations of the customer. The business is driving IT and the problem is that IT isn't responding fast enough," explained Mark Levy, Senior Product Marketing Manager at Serena Software, in this SYS-CON.tv interview at DevOps Summit, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Want to enable self-service provisioning of application environments in minutes that mirror production? Can you automatically provide rich data with code-level detail back to the developers when issues occur in production? In his session at DevOps Summit, David Tesar, Microsoft Technical Evangelist on Microsoft Azure and DevOps, will discuss how to accomplish this and more utilizing technologies such as Microsoft Azure, Visual Studio online, and Application Insights in this demo-heavy session.
Entuity®, a provider of enterprise-class network management solutions, today announced that it solidifies its position as a market leader through global enterprise customer acquisitions and a refined channel strategy. In 2014, Entuity increased new license revenues in EMEA by over 75 percent, and LATAM by over 125 percent as customers embraced Entuity for its highly automated solution and unified architecture. Entuity’s refined channel strategy focuses on even deeper strategic alignment with ke...
Log data provides the most granular view into what is happening across your systems, applications, and end users. Logs can show you where the issues are in real-time, and provide a historical trending view over time. Logs give you the whole picture. Logentries, a log management and analytics service built for the cloud, has announced a new integration with Slack, the team communication platform, to enable real-time system and application monitoring. Users of both services can now receive real-...