NSS Labs Test Report

NSS Labs' 2018 Advanced Endpoint Protection (AEP) Group Test evaluated twenty marketleading AEP products on security effectiveness and total cost of ownership (TCO). Results include: 100% Block RateMalware Delivered Using HTTP, 100% Block Rate- Malware Delivered Using Email, 100% Block Rate- Malware Delivered via Docs and Scripts, 100% Block Rate- Resistance to Evasion Techniques, 0.1% False Positive Rate- Detection Accuracy. The NSS Labs AEP test results display the results of the enSilo Endpoint Security platform and the official NSS Labs recommended rating.

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NSS Labs Test Report

NSS Labs' 2018 Advanced Endpoint Protection (AEP) Group Test evaluated twenty marketleading AEP products on security effectiveness and total cost of ownership (TCO). Results include: 100% Block RateMalware Delivered Using HTTP, 100% Block Rate- Malware Delivered Using Email, 100% Block Rate- Malware Delivered via Docs and Scripts, 100% Block Rate- Resistance to Evasion Techniques, 0.1% False Positive Rate- Detection Accuracy. The NSS Labs AEP test results display the results of the enSilo Endpoint Security platform and the official NSS Labs recommended rating.

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The Total Economic Impact of IBM Security Guardium – en_US (April 2018)

Data security presents a complex challenge to organizations. The value of sensitive data, and particularly customer data, has increased exponentially over time, but with it comes an increase in potential liability and exposure. Successful enterprise security and compliance strategy needs to balance out: the rapid growth of data within organizations’ environments; the complexity of regulations and compliance across industries; and the threat of internal and external attacks.

To better understand the benefits, costs, and risks associated with a Guardium implementation, Forrester interviewed three customers with multiple years of experience using Guardium. IBM Security Guardium offers a family of integrated modules for managing the entire data security and compliance life cycle, which is built on a single, unified infrastructure with a unified user experience. Guardium is designed to support and secure a wide range of data environments, including: databases; data warehouses; file systems; and cloud, virtual, and big data-based systems.

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Ponemon Institute’s 2017 State of Mobile & IoT Application Security Study

Ponemon Institute is pleased to present the findings of the 2017 Study on Mobile and Internet of Things Application Security sponsored by IBM and Arxan Technologies. The purpose of this research is to understand how companies are reducing the risk of mobile apps and Internet of Things (IoT) in the workplace. The risks created by mobile apps have been well researched and documented. This study reveals how companies are unprepared for risks created by vulnerabilities in IoT apps.

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2018 Phishing By Industry Benchmarking Report

As a security leader, you’re faced with a tough choice.

Even as you increase your budget for sophisticated security software, your exposure to cybercrime keeps going up!

IT security seems to be a race between effective technology and clever attack methods. However, there’s an often overlooked security layer that can significantly reduce your organization’s attack surface: New-school security awareness training.

In this report, brand-new research from KnowBe4 highlights employee Phish-prone™ percentages by industry, revealing at-risk users that are susceptible to phishing or social engineering attacks. Taking it a step further, the research also reveals radical drops in careless clicking after 90 days and 12 months of new-school security awareness training. Do you know how your organization compares to your peers of similar size? Download this whitepaper to find out!

You will learn more about:

  • New phishing benchmark data by industry
  • Understanding who’s at risk and what you can do about it
  • Actionable tips to create your “human firewall”
  • The value of new-school security awareness training...

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2018 Open Source Security and Risk Analysis

The Black Duck by Synopsys Open Source Security and Risk Analysis (OSSRA) report provides an in-depth look at the state of open source security, license compliance, and code-quality risk in commercial software. Each year, the Black Duck OnDemand audit services group conducts open source audits on thousands of applications for its customers—primarily in conjunction with merger and acquisition transactions. This year’s analysis was done by the Synopsys Center for Open Source Research & Innovation (COSRI) and examines findings from the anonymized data of over 1,100 commercial codebases audited in 2017. Industries represented in the report include the automotive, big data (predominantly artificial intelligence and business intelligence), cyber security, enterprise software, financial services, healthcare, Internet of Things (IoT), manufacturing, and mobile app markets.

The OSSRA report includes insights and recommendations intended to help organizations and security, risk, legal, development, and M&A teams better understand the open source security and license risk landscape as they strive to improve their application risk management processes.

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Forrester Report: Artificial Intelligence with the Human Touch

Artificial intelligence (AI) can’t replicate the human touch, but it can ease your agents’ burden by handling many simple, repetitive requests. A new Forrester Consulting paper offers a look at the strengths and weaknesses of both AI and humans independently, yet how blending them together can give your customers the seamless end-to-end experience they expect.

See how enterprises around the world use AI to improve customer service and uncover new revenue streams, the challenges they overcame, and why a blended solution with live agents makes sense.

Download the paper to learn three key recommendations on using AI to improve agent productivity, agent satisfaction, and customer satisfaction.

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Recommended New Approach to Improve Digital Application Performance

Online applications and services, from ecommerce to government services, increasingly address a global audience. These services require a globally-distributed architecture that is optimized to deliver a high-quality user experience. Traffic optimization solutions based on managed DNS services are a critical component of such distributed architecture. They offer an efficient method for optimizing globally-distributed architectures for both end-user performance and cost.

When these optimization services are able to make traffic management decisions based on real-time performance analytics, they become immensely more valuable and effective. They allow application owners to build traffic optimization policies that are based on real-time network conditions, rather than purely static conditions like geography. Combining real-time performance data with cost metrics enables application services to be optimized for performance and cost.

This white paper examines why operators of online services should leverage managed traffic optimization services that use a combination of real-time data feeds, including real user measurements (RUM), active and passive monitoring, and location-based information. It briefly reviews NS1’s Pulsar RUM analytics and Managed DNS traffic management platform.

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Forrester Report: Artificial Intelligence with the Human Touch

Artificial intelligence (AI) can’t replicate the human touch, but it can ease your agents’ burden by handling many simple, repetitive requests. A new Forrester Consulting paper offers a look at the strengths and weaknesses of both AI and humans independently, yet how blending them together can give your customers the seamless end-to-end experience they expect.

See how enterprises around the world use AI to improve customer service and uncover new revenue streams, the challenges they overcame, and why a blended solution with live agents makes sense.

Download the paper to learn three key recommendations on using AI to improve agent productivity, agent satisfaction, and customer satisfaction.

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Forrester Report: Artificial Intelligence with the Human Touch

Artificial intelligence (AI) can’t replicate the human touch, but it can ease your agents’ burden by handling many simple, repetitive requests. A new Forrester Consulting paper offers a look at the strengths and weaknesses of both AI and humans independently, yet how blending them together can give your customers the seamless end-to-end experience they expect.

See how enterprises around the world use AI to improve customer service and uncover new revenue streams, the challenges they overcame, and why a blended solution with live agents makes sense.

Download the paper to learn three key recommendations on using AI to improve agent productivity, agent satisfaction, and customer satisfaction.

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Forrester Report: 2018 Customer Service Trends: How Operations Become Faster, Cheaper – And Yet, More Human

Ease, effectiveness, and emotion drive great customer service, but top line growth requires professionals to keep an eye out on trends for truly determining improvements in quality of service. Download this report to learn 10 customer service trends Forrester Research has identified for 2018.

Discover which investments are critical and the advantages of:

  • Focusing on context and inquiry type to deliver the best customer experience
  • Using automation and AI to uncover new revenue streams and transform operations
  • Exploring new labor models to maximize human connections in a digital world

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Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

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Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

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Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

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Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

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