Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
Read this white paper to learn about how to get smart about insider threat prevention, including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third party collaboration.
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line.
Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
An interactive white paper describing how to get smart about insider threat prevention - including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third-party collaboration.
Security breaches are all over the news, and it can be easy to think that all the enemies are outside your organization. But the harsh reality is that more than half of all attacks are caused by either malicious insiders or inadvertent actors.1 In other words, the attacks are instigated by people you’d be likely to trust. And the threats can result in significant financial or reputational losses.
There are many types of databases and data analysis tools to choose from when building your application. Should you
use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right ft?
What about polyglot persistence and the need for advanced analytics?
If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions
available to meet your app’s unique needs.
You’ll see how data can move across databases and development languages, so you can work in your favorite
environment without the friction and productivity loss of the past.
Security threats are very real, and the stakes are higher than ever. Each day, tens of thousands of malware variants are created, with new classes of threats continually added and improved upon. Savvy attackers use polymorphic programs to alter malware into new form factors after each delivery. And all of this is exacerbated by the proliferation of mobile devices, cloud computing and social media—in fact, the intersection of these technologies provides fertile new ground for threats and malware.
Data—dynamic, in demand and distributed—is challenging to
secure. But you need to protect sensitive data, whether it’s stored
on-premises, off-site, or in big-data, private- or hybrid-cloud
environments. Protecting sensitive data can take many forms, but
nearly any organization needs to keep its data accessible, protect
data from loss or compromise, and comply with a raft of regulations
and mandates. These can include the Payment Card Industry Data
Security Standard (PCI DSS), the Health Insurance Portability and
Accountability Act of 1996 (HIPAA) and the European Union (EU)
General Data Protection Regulation (GDPR). Even in the cloud, where
you may have less immediate control, you must still control your
sensitive data—and compliance mandates still apply.
Published By: Utimaco
Published Date: Aug 18, 2008
If company laptops, PDAs, or other mobile devices can't be found, it doesn't always mean that they've been stolen. Companies often lose track of these IT assets because there's no clear record of them. Encryption and inventory management can help to safeguard against the loss of confidential data.
Downtime and data loss pose intolerable risks to every business today. From IT departments to the Board Room, managers have seen the importance of business uptime and data protection to continued success, productivity and profitability.
Journaling? RAID? Vaulting? Mirroring? High availability? Know your data protection and recovery options! Download this information-packed 29-page report that reviews the spectrum of IBM i (i5/OS) and AIX resilience and recovery technologies and best practices choices, including the latest, next-generation solutions.
For IT departments looking to bring their AIX environments up to the next step in data protection, IBM’s PowerHA (HACMP) connects multiple servers to shared storage via clustering. This offers automatic recovery of applications and system resources if a failure occurs with the primary server.
Distributed denial-of-service attacks may be organized by type into a taxonomy that includes network attacks (layers 3 and 4), session attacks (layers 5 and 6), application attacks (layer 7), and business logic attacks. Each type may be matched with the best F5 technology for mitigating that attack. This paper explains how taken together, the F5 BIG-IP portfolio of products provides effective anti-attack technology for each layer of the taxonomy and can also defend against specific attack tools, network reconnaissance, and low-bandwidth asymmetric attacks.
A powerful signal integrity analysis tool must be flexibility, easy to use and integrated into an existing EDA framework and design flow. In addition, it is important for the tool to be accurate enough. This report reviews a validation study for the Mentor Graphics HyperLynx 8.0 PI tool to establish confidence in using it for power integrity analysis.
For advanced signaling over high-loss channels, designs today are using equalization and several new measurement methods to evaluate the performance of the link. Both simulation and measurement tools support equalization and the new measurement methods, but correlation of results throughout the design flow is unclear. In this paper a high performance equalizing serial data link is measured and the performance is compared to that predicted by simulation. Then, the differences between simulation and measurements are discussed as well as methods to correlate the two.
Published By: Unitrends
Published Date: Jun 15, 2010
In this document we're first going to explore the use of the insurance metaphor in terms of its most fundamental element: the broad consequences of data loss. We'll also discuss industry and regulatory consequences of data loss.
Published By: Unitrends
Published Date: Apr 12, 2010
The purpose of deduplication is to provide more storage, particularly backup storage, for less money, right? Then wouldn't it be ridiculous if deduplication vendors were demanding that their customers pay more per terabyte of storage? Or if they were simply pushing the task of integrating, monitoring, and managing deduplication back onto their users?
Published By: Unitrends
Published Date: May 18, 2010
This tongue in cheek white paper explores data loss from a contrarian point of view - exploring the top 7 shortcuts you can take to ensure that you lose your data. And since a fundamental responsibility of any information technology professional, as well as any C-level executive, is to ensure that the data upon which any company is created is protected - scrupulously following these shortcuts should also ensure that you lose not only your data but your job as well.
Published By: SilverSky
Published Date: Mar 26, 2014
The average employee sends and receives about 110 emails each day or 29,000 emails per year. One in every 20 of those emails contains “risky” data – from sensitive attachments to social security numbers to protected health information to valuable corporate secrets that set your organization apart. All of this risky data can become toxic to your company if it’s hacked or suffers a breach – causing reputational damage, customer loss, heavy fines and decreased competitive edge. SilverSky’s Email DLP is powered by IBM technology.
Download SilverSky’s Email DLP white paper to review the 5 strategies your organization should be doing to protect your email.
Published By: SilverSky
Published Date: May 22, 2014
Are you looking to enhance security and regulatory compliance around email, without having to add staff? SilverSky offers a game-changing Email Data Loss Prevention (DLP) solution, run on IBM SoftLayer, which can help. Read this paper to learn more and for helpful tips on preventing data loss.
The necessity of building a disaster recovery model to ensure that services can be delivered nonstop with minimal data loss is not easy or inexpensive. Read this research report to learn how the cloud offers companies an alternative, allowing for rapid recovery and minimal data loss, and without the high costs.
Mobile devices, including smartphones and tablets, enable increasing numbers of employees to work "anywhere, anytime."The security of enterprise data is a key concern, particularly on mobile devices that are easily lost or stolen. The security risk is further heightened by the proliferation of employee-owned mobile devices in many enterprises. Employees will almost always take the path of least resistance in leveraging mobile devices for business purposes, which may lead to unsafe computing practices. A clearly documented and enforceable mobile security policy is critical to reducing the risk of data loss.
Simply put, software defined storage is the abstraction of storage services from storage hardware. This term is more than just marketing hype, it’s the logical evolution of storage virtualization from simply being a storage aggregator to the end goal of storage as a service. To achieve this goal, software defined storage needs a platform from which to centralize.
Data breaches are more than a security problem. A significant attack can shake your customer base, partner relations, executive staff, profits, and revenue. Historic data breaches have cost executives their jobs, resulted in major revenue losses and damaged brand reputations. In a 2014 study of 700 consumers about brand reputation by Experian and the Ponemon Institute, data breaches were reported as the most damaging occurrence to brand reputation, exceeding environmental disasters and poor customer service.1 In a world where data breaches have become commonplace, what steps can be taken to minimize damage?
As information security continues to rise to the top of the enterprise priority list, what used to be an easy-to-control environment, with all data stored behind the corporate firewall, is no longer. Shadow IT, mobile computing, consumer IT, and cloud computing are all transforming enterprise IT. Workers using unsecured networks and devices without encryption are also a concern, as data breaches cost organizations millions of dollars in fines, data loss, investigations, and customer backlash.