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As the application economy drives companies to roll out applications more quickly, companies are seeing testing in a new light. Once considered a speed bump on the DevOps fast track, new tools and testing methodologies are emerging to bring testing up to speed. In this ebook, we’ll explore some of the challenges on the road to continuous testing, along with new approaches that will help you adopt next-gen testing practices that offer the ability to test early, often and automatically.

Continuous testing is the practice of testing across every activity in the SDLC to uncover and fix unexpected behaviors as soon as they are injected. Continuous testing is the embedding of testing as a fundamental and ongoing aspect of every activity through the application lifecycle, from requirements through production, to ensure the business value is being achieved as expected. As the pace of business continues to quicken, companies are starting to recognize that to stay competitive the process of developing and releasing software needs to change. Release cadence has greatly accelerated. There is no occasion anymore for a six- to 18-month find-and-fix turnaround in which the customer will find the delay acceptable. Things need to move faster, and they need to be ready and perfect faster. Download this whitepaper to find out how CA Technologies can help with your Continuous Testing.

Business applications have become the battleground for customer loyalty. To compete, IT organizations are under pressure to deliver applications faster and with higher quality. Continuous Delivery (CD) of code offers a solution. CD may be paired with DevOps, Agile and other methodologies. However, QA and testing can be an obstacle to CD’s rapid development and deployment of high quality code. Testers and developers must engage in Continuous Testing, continuously testing software for performance, quality and user experience as it’s being developed. Continuous Testing is not a push button process, though. It requires a comprehensive approach. This paper outlines the common challenges to Continuous Testing and highlights results from real users who have used technology to get to succeed with the Continuous Testing process.

There are five ways to provision test data. You can copy or take a snapshot of your production database or databases. You can provision data manually or via a spreadsheet. You can derive virtual copies of your production database(s). You can generate subsets of your production database(s). And you can generate synthetic data that is representative of your production data but is not actually real. Of course, the first four examples assume that the data you need for testing purposes is available to you from your production databases. If this is not the case, then only manual or synthetic data provision is a viable option. Download this whitepaper to find out more about how CA Technologies can help your business and its Test Data problems.

With the application economy in full swing, more organizations are turning to Continuous Testing and DevOps development practices in order to quickly roll out applications that reflect the ever-changing needs of tech-savvy, experience-driven consumers. Rigorous data they need, in the right formats. This forces teams to postpone their testing until the next sprint. As a result, organizations like yours are increasingly looking for ways to overcome the challenges of poor quality data and slow, manual data provisioning. They are also concerned about compliance and data privacy when using sensitive information for testing. CA Test Data Manager can help you mitigate all these concerns, so you’re positioned to achieve real cost savings.

To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing. In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever. Recorded Feb 5 2018 49 mins Presented by Steve Feloney, VP Product Management CA Technologies

If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).

Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how: Join us for this webcast to learn: - How Test Data Manager finds, builds, protects and delivers test data fast! - How to get your testing teams moving towards self sufficiency with test data Get your questions answered. Come away happy! Recorded Aug 20 2018 60 mins Presented by Prashant Pandey, CA Technologies

Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT. Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction. Download this paper

Learn how APM can help DevOps practitioners streamline testing, deployment and management of hybrid business applications.

Gartner named Akamai a Leader in their 2017 Magic Quadrant for Web Application Firewalls. A web application firewall is an essential element in your defense against application-layer attacks, which pose an ever-greater threat to productivity and security. The Akamai approach to WAF combines: An anomaly detection model A repeatable testing framework to measure effectiveness Threat intelligence to identify the latest threats A cloud platform for global scale Managed security services to help organizations better protect their websites and web applications over time

Pre-hire assessments are a proven, scientific way to screen candidates. Today, pre-hire assessments have evolved beyond their legacy standardized-testing roots to measure a candidate’s critical competencies faster, more accurately, and in a way that enhances their candidate experience. EXPECT TO LEARN: Why pre-hire assessments make hiring more data-driven The technologies driving the next generation of pre-hire assessments How the next generation of assessments mitigate bias and control for adverse impact How video-based and game-based assessments provide complementary insight into a candidate’s skills, abilities, and potential Why the multiple-choice pre-employment test is becoming a thing of the past Download the free white paper now

Countless studies and analyst recommendations suggest the value of improving security during the software development life cycle rather than trying to address vulnerabilities in software discovered after widespread adoption and deployment. The justification is clear.For software vendors, costs are incurred both directly and indirectly from security flaws found in their products. Reassigning development resources to create and distribute patches can often cost software vendors millions of dollars, while successful exploits of a single vulnerability have in some cases caused billions of dollars in losses to businesses worldwide. Vendors blamed for vulnerabilities in their product's source code face losses in credibility, brand image, and competitive advantage.

Cylance commissioned AV-TEST to perform an advanced threat prevention test of enterprise endpoint protection software. The testing methodology was jointly developed to provide additive testing to the commodity antivirus protection tests currently produced by AV-TEST. CylancePROTECT® was tested against five competitor endpoint products from Kaspersky, McAfee, Sophos, Symantec, and Trend Micro. The tests were performed in December 2016 and January 2017. This report contains the results of four test cases. The primary goal was to show the detection and prevention capabilities of new and unknown malicious executables. Read more in the AV-TEST report.

During NSS Labs’ 2018 Advanced Endpoint Protection (AEP) Group Test, CylancePROTECT® and CylanceOPTICS™ v2.0.1450 failed to initiate part of the CylanceOPTICS engine, which primarily impacted the exploit and blended threats test categories. This affected the Cylance® position on the Security Value Map (SVM)™. After working closely with NSS, Cylance rolled out a new version of its software (v2.2.1011) for CylanceOPTICS. Cylance submitted this updated product for follow-on testing using the AEP Test Methodology v2.0, the same methodology used in the AEP Group Test. The product improved its Block Rate by 6.9% and its Additional Detection Rate by 0.2%. Learn more about the results in the NSS Labs testing report.

How did you choose your anti-malware solution? Did you put it through the same rigorous process as your other security solutions? Or, did you simply renew your current product licensing? Perhaps you went with something you had used at a previous job. Maybe you even went so far as to read a few product reviews and third-party test results or evaluations. But, did you test the anti-malware solution yourself? In this book, we explain how artificial intelligence (AI) can help your enterprise combat malware threats in a more preventative, proactive, and radically better way than legacy anti-malware products. We explain why you shouldn't just believe a vendor's marketing. Instead, you should test different solutions for yourself, just as you would with any other major security investment. Read more in this eBook.

Even if one minute a day is lost to productivity drains because of PC horsepower allocation to security scans and remediation, the cost over a year across a medium-sized enterprise adds up quickly. A 10,000 employee operation would face over $10M in direct productivity losses alone. As an early trigger for expensive PC hardware refresh is an onslaught of help desk calls, many companies find that they can actually extend the hardware refresh cycle out another 12–24 months simply by employing a security solution that does not tax the PC as heavily. The indirect costs associated with brand reputation and opportunity losses add untold thousands of dollars per year as well. Further, some institutions under green initiatives monitor power consumption related to security measures favor solutions that use less energy. As such, forward-thinking enterprises are looking beyond the software license fees when evaluating security software alternatives.

An approach towards solving the emerging technological implications of Mobile Apps. MOBILE is Accelerating.

It always surprises me that as eCommerce marketers we give lip service to the importance of testing, buy many of us don't take the time to fine-tune our email programs. If you are able to identify a few elements through testing that resonate with your customers and then employ those insights in your ongoing program, the improvements may be sustainable over time.

Service virtualization tools simulate software components so end-to-end testing can proceed even when dependent components are not available. That means teams can perform integration tests sooner and more often, accelerating the delivery of high-quality, thoroughly tested applications.

The operation of your organization depends, at least in part, on its data. You can avoid fines and remediation costs, protect your organization’s reputation and employee morale, and maintain business continuity by building a capability to detect and respond to incidents effectively. The simplicity of the incident response process can be misleading. We recommend tabletop exercises as an important step in pressure-testing your program.

99tests offers a cloud-based, crowd-sourced testing platform where users can be anywhere in the world. Providing secure, simple, and convenient remote access was a key challenge. Read the case study to see how the Akamai helped 99tests provide simple, secure access to their application.

IT managers are struggling to keep up with the “always available” demands of the business. Data growth and the nearly ubiquitous adoption of server virtualization among mid-market and enterprise organizations are increasing the cost and complexity of storage and data availability needs. This report documents ESG Lab testing of Dell EMC Storage SC Series with a focus on the value of enhanced Live Volume support that provides always-available access with great ease of use and economics.

Miercom executed comprehensive hands-on testing and evaluated the performance of some widely deployed features that are critical for reliable functioning of enterprise networks.