Companies cautiously optimistic about cybersecurity

Optimism is good. But being overconfident about your ability to counter cyber attacks is dangerous. And that's what many security professionals are doing according to new research by SC Magazine. Eighty percent of survey respondents believe the chances of being breached are 50-50 or less. But the Ponemon Institute 2015 Cost of Cyber Crime Study finds the average company actually experiences 1.9 successful cyber attacks per week.

The disconnect seems to spring from respondents' confidence that they can block known attacks coupled with concern about new and unknown hacker threats. Read this report to learn:

• Respondents' highest cyber defense priorities
• How they view their ability to respond to breaches
• The five top action items for security professionals

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UBM Security Trends

In this UBM report, we will examine the overall security trends that are driving the need for change, as well as plans and strategies around application security, network security, and data security.

Last year, organizations worldwide spent more per security breach than they did the previous year. The cost to detect, respond to, and mitigate a breach was around $7.7 million—1.9% higher than in 2014. For US companies, those costs were much higher, at around $15 million on an annualized basis.

Read this report today. You’ll be surprised to learn:

• Who causes the costliest crimes
• How “threat actors” gather information prior to their attacks
• What the biggest security concerns are world-wide
• Why web applications are so vulnerable to attack, and the most common problems

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2016 State of Security Operations

Hacker attacks are increasing, and the cost to businesses is growing. Experts tell us it's not if you'll be breached, it's when. So the effectiveness of your security operations determines how much damage you'll suffer. Since 2008, Hewett Packard Enterprise Security has performed 154 assessments of the maturity of security operations in 114 security operations centers (SOCs).

The 2016 report is both disturbing and encouraging. There has been a year-to-year decline in overall security operation maturity. But there is also encouraging news—many SOCs are adopting innovative techniques that leverage the power of data and analytics to stay ahead of the threat. Read the report to learn the findings and understand the trends in security operations.

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NEW: ESG Economic value calculator for Flash

This calculator is built on extensive primary research conducted by the analyst ESG to demonstrate the cost competitiveness and economic value of IBM FlashSystem compared to traditional storage systems, including performance disk-based systems underpinned by 15K RPM drives.
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TCO Now Flash Tool

It's about time you got the most value from your data storage solution. Discover how easy it is to begin your own paradigm shift. Take advantage of scalable performance to match your unique application workloads, benefit from the enduring economics of flash storage to drive down total cost of ownership, and accelerate your time to value with the easy and agile integration of industry-leading IBM FlashSystem.
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Cost of Data Breach – Impact of Business Continuity Management

What truly affects the cost of a data breach? Ponemon Institute’s latest study of 350 organizations around the globe details both the cost and impact of data breaches, with breakdowns by industry and country. Read the 2015 report to learn:

- The 2 major factors that affect the financial consequences of a data breach
- How companies changed their operations and compliance following a data breach
- The most common cyber security governance challenges.

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Measure and Move Your Mobile App to Greatness

Delivering great apps rather than simply good apps offers significant, long-term benefits in customer loyalty and spend. With companies competing for customers’ precious mobile moments, the opportunity is ripe to meet and exceed customer expectations, and reap the financial rewards.
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The DevOps Field Guide Practical Tips to Find and Fix Common App Performance Problems

This field guide examines common, yet elusive application performance problems that reveal themselves only when you look at them from the right vantage point, and with tools that can capture all of the data, not just some of it.

This guide is based on the real-world experiences of Jon Hodgson, a Riverbed APM subject-matter expert who has helped hundreds of organizations worldwide optimize their mission-critical applications.
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The Total Economic Impact™ Of IBM UrbanCode

IBM commissioned Forrester Consulting to conduct their Total Economic Impact™ (TEI) study that examines and quantifies potential return on investment (ROI) for IBM UrbanCode Deploy within an enterprise DevOps environment. The study determined that a composite organization, based on the customers interviewed, experienced an ROI of 482%! Read the Forrester Consulting study and see how IBM UrbanCode brings deployment velocity while reducing release costs.

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The Total Economic Impact™ Of IBM DB2 With BLU Acceleration

Learn about the cost savings and business benefits of DB2 with BLU Acceleration. In a commissioned study, Forrester Consulting evaluated the total economic impact of BLU Acceleration in-memory technology at a financial services client. Download now for detailed results based on interviews and subsequent financial analysis and research.

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In-Memory Databases Put the Action in Actionable Insights

In order to derive business value from Big Data, practitioners must have the means to quickly (as in sub-milliseconds) analyze data, derive actionable insights from that analysis, and execute the recommended actions. While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics. For these types of workloads, a different style of computing is required. The answer is in-memory databases.
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Follow the Money: Big Data ROI and Inline Analytics

Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
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Affordable, Scalable, Reliable OLTP in a Cloud and Big Data World: IBM DB2 pureScale

This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support. It also contrasts this approach, taken in a relational database context, with clustering approaches employed by NoSQL databases and Hadoop applications, showing the importance It goes on to discuss the specific advantages offered by IBM's DB2 pureScale, which is designed to deliver the power of server scale-out architecture, enabling enterprises to affordably develop and manage transactional databases that can meet the requirements of a cloud-based world with rapid transaction data growth, in an affordable manner.

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Data science methodology: Best practices for successful implementations

Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights. The flow of IBM's data science methodology ensures that as data scientists learn more about the data and the modeling, they can return to a previous stage to make adjustments, iterate quickly and provide continuous value to the organization.
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