|By Raja Patel||
|August 28, 2014 01:15 PM EDT||
The cloud plays an integral role in enabling the agility required to take advantage of new business models and to do so in a very convenient and cost-effective way. However, this also means that more personal information and business data will exist in the cloud and be passed back and forth. Maintaining data integrity is paramount.
Today's approach to security in the cloud may not be sufficient; it doesn't focus on putting controls close to data, which is now more fluid, and it doesn't discriminate one set of data from another. All data is not created equal and should not be treated in the same manner; a one-size fits all model doesn't work.
In this always-connected world, protection measures in the cloud need to focus on what really matters - the type of data, how it is used, and where it goes.
In order to adequately protect data in the cloud, organizations need to start considering how to classify data. One approach is to use a three-tier data protection model to cater to data of different sensitivities and relevance across industries. This model would include:
Tier 1, Regulated: Data subject to regulation, or data that carries with it proprietary, ethical, or privacy considerations such as personally identifiable information (PII). Unauthorized disclosure of regulated data may have serious adverse effects on an organization's reputation, resources, services, or individuals and requires the most stringent level of control.
Tier 2, Commercial: Industry-related, ecommerce or transactional and intellectual property data whose unauthorized disclosure may have moderately adverse effects on an organization's reputation, resources, services, or individuals. Commercial data requires a moderate level of security.
Tier 3, Collaborative: Collaborative and DevOps-type data that typically is publicly accessible, requires minimal security controls and poses little or no risk to the consuming organization's reputation, resources, or services.
Using this model, security teams can strategically partner with business users to understand requirements and determine the right approach for their organization. Small to mid-sized organizations, enterprises, and service providers can apply this model to begin classifying their data based on contextual attributes such as how the data will be accessed, stored, and transmitted. Once the data is classified, they can then apply appropriate data protection measures focused on protecting work streams and transactions that continue to evolve to enable business agility. Given that most of today's data breaches are a result of user-access issues, security considerations such as Identity and Access Management, Authorization, and Authentication are critical.
The Data Integrity Challenge
Understanding and classifying data is just a first step, albeit an important one. Organizations also need to determine how to ensure data integrity when the perimeter is amorphous and control of the endpoints and the data is diminished mobility and cloud services.
Business departments are increasingly encouraged to find efficient and innovative ways to generate new business. This requires identifying new applications and ways to support the business anywhere and anytime. Business users often make the decision to use the cloud before involving IT since they can get up and running in a fraction of the time and cost it would take to provision in house.
With this unprecedented change in operations and infrastructure comes an unprecedented need for ensuring data integrity - ultimately working through the life cycle of data that can, at any point, be within the confines of a company, out to a network of partners and suppliers, or floating in a cloud. The challenge in this fractured landscape is that the perimeter is amorphous, but legacy security solutions are not; designed for a time when there was a more well-defined perimeter. The result is that attackers now use various techniques to bypass traditional perimeter-based defenses and compromise data - be it through tampering, stealing, or leaking data. Point-in-time defenses are no longer sufficient.
To effectively protect data wherever it may be, defenses must go beyond simply blocking and detection to including capabilities such as data correlation, continuous data analysis, and retrospective action when data has been found to have been corrupted, tampered with, or exfiltrated.
A New Approach to Applying Controls
In order to protect the classes of data described earlier - regulated, commercial, and collaborative - security teams need a mix of policy, process, and technology controls. These controls should be applied based on user and location context and according to a security model that is open, integrated, continuous, and pervasive:
- Open to provide access to global intelligence and context to detect and remediate breaches and to support new standards for data protection.
- Integrated solutions that enable policy to be automated and minimize manual processes can close gaps in security and support centralized management and control according to data classifications.
- Both point-in-time solutions as well as continuous capabilities are needed to identify new threats to data.
- Pervasive security delivers protection across the full attack continuum - before, during, and after an attack.
Let's take a closer look at the advantages of applying controls to protect data based on this model.
- The opportunity to participate in an open community of users and standards bodies to ensure consistent data classification and standards of policy and process.
- Easy integration with other layers of security defenses to continue to uphold data protection best practices as IT environments and business requirements change.
- The ability to access to global intelligence with the right context to identify new threats and take immediate action.
- Technology controls that map to data tiers and also track data through different usage contexts and locations to support the fundamental first step of data classification.
- Identity and access controls, authorization, and authentication that work in unison to map data protection to data classifications.
- Encryption controls applied based on deemed data sensitivity to further strengthen protection, including strong encryption key standards (minimum AES256) and encryption keys retained by data owners.
- Security solutions and technologies that seamlessly work together to protect data across its entire lifecycle.
- Centralized policy management, monitoring, and distributed policy enforcement to ensure compliance with regulatory and corporate policies.
- Technologies and services to constantly aggregate and correlate data from across the connected environment with historical patterns and global attack intelligence to maintain real-time contextual information, track data movement, and detect data exfiltration.
- The ability to leverage insights into emerging new threats, take action (automatically or manually) to stop these threats, and use that intelligence to protect against future data breaches.
Pervasive translates into:
- Defenses (including technologies and best practices) that address the full attack continuum - before, during, and after an attack. Before an attack, total, actionable visibility is required to see who is accessing what data from where and how, and to correlate that information against emerging threat vectors. During an attack, continuous visibility and control to analyze and take action in real time to protect data is necessary. After an attack, the key is to mitigate the damage, remediate, quickly recover, and prevent similar, future data breaches, data tampering, or data corruption activities.
- The ability to address all attack vectors - including network, endpoints, virtual, the cloud, email and Web - to mitigate risk associated with various communications channels that could be used by an attacker to compromise data.
Today's cloud-driven, always-connected world is enabling organizations to be very agile but it is also putting data integrity at risk. IT teams need to quickly adapt to this new way of doing business despite having less control of the endpoints and the data. Traditional data protection models fail due to their inability to discriminate one set of data from another. By putting in place protection measures based on the type of data, how it is used, and where it goes, and backed by a security model that is open, integrated, continuous, and pervasive, organizations can take advantage of new business opportunities the cloud affords without sacrificing data integrity.
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.
Dec. 3, 2016 06:30 AM EST Reads: 5,967
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life sett...
Dec. 3, 2016 05:45 AM EST Reads: 6,905
The WebRTC Summit New York, to be held June 6-8, 2017, at the Javits Center in New York City, NY, announces that its Call for Papers is now open. Topics include all aspects of improving IT delivery by eliminating waste through automated business models leveraging cloud technologies. WebRTC Summit is co-located with 20th International Cloud Expo and @ThingsExpo. WebRTC is the future of browser-to-browser communications, and continues to make inroads into the traditional, difficult, plug-in web ...
Dec. 3, 2016 05:30 AM EST Reads: 1,194
20th Cloud Expo, taking place June 6-8, 2017, at the Javits Center in New York City, NY, 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.
Dec. 3, 2016 04:15 AM EST Reads: 1,704
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, will share examples from a wide range of industries – includin...
Dec. 3, 2016 02:30 AM EST Reads: 1,518
WebRTC is the future of browser-to-browser communications, and continues to make inroads into the traditional, difficult, plug-in web communications world. The 6th WebRTC Summit continues our tradition of delivering the latest and greatest presentations within the world of WebRTC. Topics include voice calling, video chat, P2P file sharing, and use cases that have already leveraged the power and convenience of WebRTC.
Dec. 3, 2016 02:15 AM EST Reads: 1,489
"We build IoT infrastructure products - when you have to integrate different devices, different systems and cloud you have to build an application to do that but we eliminate the need to build an application. Our products can integrate any device, any system, any cloud regardless of protocol," explained Peter Jung, Chief Product Officer at Pulzze Systems, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Dec. 3, 2016 01:45 AM EST Reads: 765
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at 20th Cloud Expo, Ed Featherston, director/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.
Dec. 3, 2016 12:30 AM EST Reads: 1,519
"Once customers get a year into their IoT deployments, they start to realize that they may have been shortsighted in the ways they built out their deployment and the key thing I see a lot of people looking at is - how can I take equipment data, pull it back in an IoT solution and show it in a dashboard," stated Dave McCarthy, Director of Products at Bsquare Corporation, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Dec. 2, 2016 11:15 PM EST Reads: 903
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 effici...
Dec. 2, 2016 08:30 PM EST Reads: 4,979
Fact is, enterprises have significant legacy voice infrastructure that’s costly to replace with pure IP solutions. How can we bring this analog infrastructure into our shiny new cloud applications? There are proven methods to bind both legacy voice applications and traditional PSTN audio into cloud-based applications and services at a carrier scale. Some of the most successful implementations leverage WebRTC, WebSockets, SIP and other open source technologies. In his session at @ThingsExpo, Da...
Dec. 2, 2016 08:15 PM EST Reads: 1,561
"IoT is going to be a huge industry with a lot of value for end users, for industries, for consumers, for manufacturers. How can we use cloud to effectively manage IoT applications," stated Ian Khan, Innovation & Marketing Manager at Solgeniakhela, in this SYS-CON.tv interview at @ThingsExpo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Dec. 2, 2016 06:45 PM EST Reads: 3,992
As data explodes in quantity, importance and from new sources, the need for managing and protecting data residing across physical, virtual, and cloud environments grow with it. Managing data includes protecting it, indexing and classifying it for true, long-term management, compliance and E-Discovery. Commvault can ensure this with a single pane of glass solution – whether in a private cloud, a Service Provider delivered public cloud or a hybrid cloud environment – across the heterogeneous enter...
Dec. 2, 2016 06:30 PM EST Reads: 1,482
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 professionals...
Dec. 2, 2016 05:00 PM EST Reads: 4,083
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...
Dec. 2, 2016 04:45 PM EST Reads: 2,112
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Onalytica. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
Dec. 2, 2016 04:45 PM EST Reads: 1,978
What happens when the different parts of a vehicle become smarter than the vehicle itself? As we move toward the era of smart everything, hundreds of entities in a vehicle that communicate with each other, the vehicle and external systems create a need for identity orchestration so that all entities work as a conglomerate. Much like an orchestra without a conductor, without the ability to secure, control, and connect the link between a vehicle’s head unit, devices, and systems and to manage the ...
Dec. 2, 2016 04:15 PM EST Reads: 399
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn't be the aim of brands; delivering meaningful, tangible relevance to their users should be. We're in a period in which the IoT pendulum is still swinging. Initially, it swung toward "smart for smar...
Dec. 2, 2016 04:15 PM EST Reads: 386
In an era of historic innovation fueled by unprecedented access to data and technology, the low cost and risk of entering new markets has leveled the playing field for business. Today, any ambitious innovator can easily introduce a new application or product that can reinvent business models and transform the client experience. In their Day 2 Keynote at 19th Cloud Expo, Mercer Rowe, IBM Vice President of Strategic Alliances, and Raejeanne Skillern, Intel Vice President of Data Center Group and G...
Dec. 2, 2016 04:00 PM EST Reads: 1,870
Information technology is an industry that has always experienced change, and the dramatic change sweeping across the industry today could not be truthfully described as the first time we've seen such widespread change impacting customer investments. However, the rate of the change, and the potential outcomes from today's digital transformation has the distinct potential to separate the industry into two camps: Organizations that see the change coming, embrace it, and successful leverage it; and...
Dec. 2, 2016 03:30 PM EST Reads: 3,206