Welcome!

Cloud Security Authors: Elizabeth White, Pat Romanski, Scott Sobhani, Roman Blachman, Dana Gardner

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Linux Containers, Cloud Security, @BigDataExpo

@CloudExpo: 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.

@ThingsExpo Stories
Basho Technologies has announced the latest release of Basho Riak TS, version 1.3. Riak TS is an enterprise-grade NoSQL database optimized for Internet of Things (IoT). The open source version enables developers to download the software for free and use it in production as well as make contributions to the code and develop applications around Riak TS. Enhancements to Riak TS make it quick, easy and cost-effective to spin up an instance to test new ideas and build IoT applications. In addition to...
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effi...
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2016 Silicon Valley. The 6thInternet of @ThingsExpo will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Presidio has received the 2015 EMC Partner Services Quality Award from EMC Corporation for achieving outstanding service excellence and customer satisfaction as measured by the EMC Partner Services Quality (PSQ) program. Presidio was also honored as the 2015 EMC Americas Marketing Excellence Partner of the Year and 2015 Mid-Market East Partner of the Year. The EMC PSQ program is a project-specific survey program designed for partners with Service Partner designations to solicit customer feedbac...
The cloud promises new levels of agility and cost-savings for Big Data, data warehousing and analytics. But it’s challenging to understand all the options – from IaaS and PaaS to newer services like HaaS (Hadoop as a Service) and BDaaS (Big Data as a Service). In her session at @BigDataExpo at @ThingsExpo, Hannah Smalltree, a director at Cazena, provided an educational overview of emerging “as-a-service” options for Big Data in the cloud. This is critical background for IT and data profession...
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable. In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
Connected devices and the industrial internet are growing exponentially every year with Cisco expecting 50 billion devices to be in operation by 2020. In this period of growth, location-based insights are becoming invaluable to many businesses as they adopt new connected technologies. Knowing when and where these devices connect from is critical for a number of scenarios in supply chain management, disaster management, emergency response, M2M, location marketing and more. In his session at @Th...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
There are several IoTs: the Industrial Internet, Consumer Wearables, Wearables and Healthcare, Supply Chains, and the movement toward Smart Grids, Cities, Regions, and Nations. There are competing communications standards every step of the way, a bewildering array of sensors and devices, and an entire world of competing data analytics platforms. To some this appears to be chaos. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, Bradley Holt, Developer Advocate a...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
Apixio Inc. has raised $19.3 million in Series D venture capital funding led by SSM Partners with participation from First Analysis, Bain Capital Ventures and Apixio’s largest angel investor. Apixio will dedicate the proceeds toward advancing and scaling products powered by its cognitive computing platform, further enabling insights for optimal patient care. The Series D funding comes as Apixio experiences strong momentum and increasing demand for its HCC Profiler solution, which mines unstruc...
SYS-CON Events has announced today that Roger Strukhoff has been named conference chair of Cloud Expo and @ThingsExpo 2016 Silicon Valley. The 19th Cloud Expo and 6th @ThingsExpo will take place on November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. "The Internet of Things brings trillions of dollars of opportunity to developers and enterprise IT, no matter how you measure it," stated Roger Strukhoff. "More importantly, it leverages the power of devices and the Interne...
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
The IoT is changing the way enterprises conduct business. In his session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, discussed how businesses can gain an edge over competitors by empowering consumers to take control through IoT. He cited examples such as a Washington, D.C.-based sports club that leveraged IoT and the cloud to develop a comprehensive booking system. He also highlighted how IoT can revitalize and restore outdated business models, making them profitable ...
IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins. However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
When people aren’t talking about VMs and containers, they’re talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT. In his session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, will detail how to build a distributed serverless, polyglot, microservices framework using open source tec...