|By Mark Bregman||
|March 17, 2014 09:45 AM EDT||
Given the mountains of data now floating around, it is perhaps inevitable that the very function of data analytics is seen as somehow intrusive. There's a constant glut of reports, columns and other stories bemoaning the lack of data privacy - and at times, they're entirely justified. Organizations have a solemn duty to protect their customers' data, and those that don't implement the proper safeguards deserve to be vilified.
But beneath the surface lurks another dimension of this discussion that is often overlooked. Ethical and effective data analytics enhances security. Ethical and effective data analytics protects not only the institutions that possess the data, but also the consumers that data reflects. Ethical and effective data analytics serves a good purpose.
Let's be clear about the parameters of this argument. Data doesn't exist in a vacuum - it's generated on an ongoing basis through multiple activities, created in numerous formats and comes in through a variety of channels. At any given time, it is being analyzed and used (and occasionally misused) to serve many different needs.
Of course, when done right, information services and analytics represent a key driver of most business decisions. Actionable intelligence based on real data doesn't just augment gut instinct; it leads to quantitative thinking that supports strategic initiatives, enables tactical outreach and boosts the bottom line. Perhaps most important, it enhances information security so as to protect customer privacy and prevent operational and brand damage.
High-profile assaults on retailers like Target and Neiman Marcus, or clandestine downloads of classified information from the National Security Administration (NSA), make more news than inside-the-infrastructure DDoS attacks, but the latter is even more insidious. There are over 2,000 DDoS attacks every day. Some 65 percent of all organizations see three or more attacks each year. While the devastation is certainly felt on an organizational level, the financial impact is just as significant: DDoS attacks can cost up to $100K an hour.
DDoS mitigation can be an enormous challenge. Making an accurate distinction between normal, benign Internet traffic and malicious activity that could be the root cause of a potential DDoS attack is critical, but it's not easy. This is in part because DDoS attacks, especially when they serve as the front line of advanced targeted attacks, are remarkably sophisticated. They rely on stealth techniques that go unnoticed within the enterprise for long periods. They're highly customized, based specifically on each target's infrastructure and defenses, and can often defeat defense strategies that rely primarily on signature-based detection. Then of course there's the cloud. When attacks become super-sized, the defensive strategies in place must have the capacity to scrub far larger volumes of bad traffic.
This is why information services and analytics are so crucial. They can boost awareness and reaction time to particular situations. When it comes to leveraging Big Data within the enterprise to help identify breach attempts, it's still early days. According to a January 2014 report from Gartner, eight percent of enterprises are using data and analytics to identify security flaws. But there's reason for optimism - the same report also estimates that within the next two years, around 25 percent of enterprises will leverage Big Data for security purposes.
It is this same pattern-searching approach that the enterprise should take when it comes to DDoS mitigation. Proactive site monitoring on a continuous basis - in particular with a centralized view of traffic patterns - enables organizations to identify anomalies and threats, before they become real problems. For example, in the case of a custom application being exploited for a directed attack to steal customer data, the detection solution must be able to identify and highlight the fact that there's a new kind of application traffic on the network.
This might be a new concept to enforce at the enterprise level, but this is really something that banks have been doing for years with regard to fraud protection services. Banks monitor a person's transaction activity, and when a purchase is made that does not fit the usual spending behavior, it is stopped and flagged with the customer. The same thing should - and will - happen at the enterprise level.
It's easy to see why information services and analytics are too often seen as a potential invasion of privacy. Data privacy is vital, and it should rightfully be a corporate priority. However, in the ongoing effort to secure data, the right kind of analytics can be the best weapon of all.
@DevOpsSummit at Cloud taking place June 6-8, 2017, at Javits Center, New York City, is co-located with the 20th International 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 developm...
Jan. 23, 2017 05:15 AM EST Reads: 3,592
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, discussed the best practices that will ensure a successful smart city journey.
Jan. 23, 2017 05:00 AM EST Reads: 2,142
Enterprise networks are complex. Moreover, they were designed and deployed to meet a specific set of business requirements at a specific point in time. But, the adoption of cloud services, new business applications and intensifying security policies, among other factors, require IT organizations to continuously deploy configuration changes. Therefore, enterprises are looking for better ways to automate the management of their networks while still leveraging existing capabilities, optimizing perf...
Jan. 23, 2017 04:00 AM EST Reads: 3,952
The pace of innovation, vendor lock-in, production sustainability, cost-effectiveness, and managing risk… In his session at 18th Cloud Expo, Dan Choquette, Founder of RackN, discussed how CIOs are challenged finding the balance of finding the right tools, technology and operational model that serves the business the best. He also discussed how clouds, open source software and infrastructure solutions have benefits but also drawbacks and how workload and operational portability between vendors an...
Jan. 23, 2017 03:30 AM EST Reads: 5,110
Web Real-Time Communication APIs have quickly revolutionized what browsers are capable of. In addition to video and audio streams, we can now bi-directionally send arbitrary data over WebRTC's PeerConnection Data Channels. With the advent of Progressive Web Apps and new hardware APIs such as WebBluetooh and WebUSB, we can finally enable users to stitch together the Internet of Things directly from their browsers while communicating privately and securely in a decentralized way.
Jan. 23, 2017 03:00 AM EST Reads: 1,018
Adding public cloud resources to an existing application can be a daunting process. The tools that you currently use to manage the software and hardware outside the cloud aren’t always the best tools to efficiently grow into the cloud. All of the major configuration management tools have cloud orchestration plugins that can be leveraged, but there are also cloud-native tools that can dramatically improve the efficiency of managing your application lifecycle. In his session at 18th Cloud Expo, ...
Jan. 23, 2017 03:00 AM EST Reads: 6,170
With the proliferation of both SQL and NoSQL databases, organizations can now target specific fit-for-purpose database tools for their different application needs regarding scalability, ease of use, ACID support, etc. Platform as a Service offerings make this even easier now, enabling developers to roll out their own database infrastructure in minutes with minimal management overhead. However, this same amount of flexibility also comes with the challenges of picking the right tool, on the right ...
Jan. 23, 2017 02:45 AM EST Reads: 5,419
Data is an unusual currency; it is not restricted by the same transactional limitations as money or people. In fact, the more that you leverage your data across multiple business use cases, the more valuable it becomes to the organization. And the same can be said about the organization’s analytics. In his session at 19th Cloud Expo, Bill Schmarzo, CTO for the Big Data Practice at Dell EMC, introduced a methodology for capturing, enriching and sharing data (and analytics) across the organization...
Jan. 23, 2017 02:30 AM EST Reads: 3,372
"Tintri was started in 2008 with the express purpose of building a storage appliance that is ideal for virtualized environments. We support a lot of different hypervisor platforms from VMware to OpenStack to Hyper-V," explained Dan Florea, Director of Product Management at Tintri, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jan. 23, 2017 02:30 AM EST Reads: 5,015
Manufacturers are embracing the Industrial Internet the same way consumers are leveraging Fitbits – to improve overall health and wellness. Both can provide consistent measurement, visibility, and suggest performance improvements customized to help reach goals. Fitbit users can view real-time data and make adjustments to increase their activity. In his session at @ThingsExpo, Mark Bernardo Professional Services Leader, Americas, at GE Digital, discussed how leveraging the Industrial Internet and...
Jan. 23, 2017 02:00 AM EST Reads: 6,648
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.
Jan. 23, 2017 01:45 AM EST Reads: 2,773
The speed of software changes in growing and large scale rapid-paced DevOps environments presents a challenge for continuous testing. Many organizations struggle to get this right. Practices that work for small scale continuous testing may not be sufficient as the requirements grow. In his session at DevOps Summit, Marc Hornbeek, Sr. Solutions Architect of DevOps continuous test solutions at Spirent Communications, explained the best practices of continuous testing at high scale, which is rele...
Jan. 23, 2017 12:45 AM EST Reads: 4,659
Containers have changed the mind of IT in DevOps. They enable developers to work with dev, test, stage and production environments identically. Containers provide the right abstraction for microservices and many cloud platforms have integrated them into deployment pipelines. DevOps and Containers together help companies to achieve their business goals faster and more effectively. In his session at DevOps Summit, Ruslan Synytsky, CEO and Co-founder of Jelastic, reviewed the current landscape of D...
Jan. 23, 2017 12:15 AM EST Reads: 5,150
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.
Jan. 23, 2017 12:00 AM EST Reads: 5,884
Due of the rise of Hadoop, many enterprises are now deploying their first small clusters of 10 to 20 servers. At this small scale, the complexity of operating the cluster looks and feels like general data center servers. It is not until the clusters scale, as they inevitably do, when the pain caused by the exponential complexity becomes apparent. We've seen this problem occur time and time again. In his session at Big Data Expo, Greg Bruno, Vice President of Engineering and co-founder of StackIQ...
Jan. 22, 2017 11:45 PM EST Reads: 7,925