|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.
Aspose.Total for .NET is the most complete package of all file format APIs for .NET as offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications. Aspose compiles all .NET APIs on a daily basis to ensure that it contains the most up to date versions of each of Aspose .NET APIs. If a new .NET API or a new version of existing APIs is released during the subscription peri...
Jul. 28, 2016 06:00 PM EDT Reads: 936
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
Jul. 28, 2016 05:30 PM EDT Reads: 1,843
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 28, 2016 05:30 PM EDT Reads: 2,208
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Jul. 28, 2016 04:30 PM EDT Reads: 1,178
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...
Jul. 28, 2016 04:15 PM EDT Reads: 1,772
Security, data privacy, reliability, and regulatory compliance are critical factors when evaluating whether to move business applications from in-house, client-hosted environments to a cloud platform. Quality assurance plays a vital role in ensuring that the appropriate level of risk assessment, verification, and validation takes place to ensure business continuity during the migration to a new cloud platform.
Jul. 28, 2016 04:15 PM EDT Reads: 356
WebRTC is bringing significant change to the communications landscape that will bridge the worlds of web and telephony, making the Internet the new standard for communications. Cloud9 took the road less traveled and used WebRTC to create a downloadable enterprise-grade communications platform that is changing the communication dynamic in the financial sector. In his session at @ThingsExpo, Leo Papadopoulos, CTO of Cloud9, discussed the importance of WebRTC and how it enables companies to focus...
Jul. 28, 2016 03:45 PM EDT Reads: 1,018
UpGuard has become a member of the Center for Internet Security (CIS), and will continue to help businesses expand visibility into their cyber risk by providing hardening benchmarks to all customers. By incorporating these benchmarks, UpGuard's CSTAR solution builds on its lead in providing the most complete assessment of both internal and external cyber risk. CIS benchmarks are a widely accepted set of hardening guidelines that have been publicly available for years. Numerous solutions exist t...
Jul. 28, 2016 03:30 PM EDT Reads: 704
Up until last year, enterprises that were looking into cloud services usually undertook a long-term pilot with one of the large cloud providers, running test and dev workloads in the cloud. With cloud’s transition to mainstream adoption in 2015, and with enterprises migrating more and more workloads into the cloud and in between public and private environments, the single-provider approach must be revisited. In his session at 18th Cloud Expo, Yoav Mor, multi-cloud solution evangelist at Cloudy...
Jul. 28, 2016 03:30 PM EDT Reads: 364
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
Jul. 28, 2016 03:15 PM EDT Reads: 1,903
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 28, 2016 03:00 PM EDT Reads: 1,563
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...
Jul. 28, 2016 12:49 PM EDT Reads: 314
The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
Jul. 28, 2016 12:00 PM EDT Reads: 1,239
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...
Jul. 28, 2016 11:15 AM EDT Reads: 1,149
Ovum, a leading technology analyst firm, has published an in-depth report, Ovum Decision Matrix: Selecting a DevOps Release Management Solution, 2016–17. The report focuses on the automation aspects of DevOps, Release Management and compares solutions from the leading vendors.
Jul. 28, 2016 11:00 AM EDT Reads: 1,796
Choosing the right cloud for your workloads is a balancing act that can cost your organization time, money and aggravation - unless you get it right the first time. Economics, speed, performance, accessibility, administrative needs and security all play a vital role in dictating your approach to the cloud. Without knowing the right questions to ask, you could wind up paying for capacity you'll never need or underestimating the resources required to run your applications.
Jul. 28, 2016 10:45 AM EDT Reads: 591
SYS-CON Events announced today that LeaseWeb USA, a cloud Infrastructure-as-a-Service (IaaS) provider, 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. LeaseWeb is one of the world's largest hosting brands. The company helps customers define, develop and deploy IT infrastructure tailored to their exact business needs, by combining various kinds cloud solutions.
Jul. 28, 2016 10:45 AM EDT Reads: 1,289
SYS-CON Events announced today that Venafi, the Immune System for the Internet™ and the leading provider of Next Generation Trust Protection, will exhibit at @DevOpsSummit at 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Venafi is the Immune System for the Internet™ that protects the foundation of all cybersecurity – cryptographic keys and digital certificates – so they can’t be misused by bad guys in attacks...
Jul. 28, 2016 09:30 AM EDT Reads: 1,416
It’s 2016: buildings are smart, connected and the IoT is fundamentally altering how control and operating systems work and speak to each other. Platforms across the enterprise are networked via inexpensive sensors to collect massive amounts of data for analytics, information management, and insights that can be used to continuously improve operations. In his session at @ThingsExpo, Brian Chemel, Co-Founder and CTO of Digital Lumens, will explore: The benefits sensor-networked systems bring to ...
Jul. 28, 2016 09:00 AM EDT Reads: 1,620
[guide] Cloud Analytics for Dummies | @CloudExpo @Informatica #API #Cloud #Analytics #BusinessIntelligence
Cloud analytics is dramatically altering business intelligence. Some businesses will capitalize on these promising new technologies and gain key insights that’ll help them gain competitive advantage. And others won’t. Whether you’re a business leader, an IT manager, or an analyst, we want to help you and the people you need to influence with a free copy of “Cloud Analytics for Dummies,” the essential guide to this explosive new space for business intelligence.
Jul. 28, 2016 07:45 AM EDT Reads: 930