The Payment Card Industry Data Security Standard (PCI DSS) was first introduced in 2004 to increase controls over credit card holder data and to reduce the chances of credit card fraud. Validation is required annually and over the years, it has evolved with new revisions periodically. The latest one, version 3.2 came into force in April 2016. Until the end of January 2018, PCI DSS and Payment Application Data Security Standards (PA-DSS) are considered best practice to implement, and starting February 1, 2018, are considered a requirement.
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM) solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs, depending on the implementation strategy adopted. With multiple capabilities including password vaults, session management and monitoring, and often user behavior analytics and threat intelligence, the way a PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
The “connected car” market is forecasted to reach $98.42 billion by 20181. The convergence of the app economy, increased connectivity, the Internet of Things (IoT), growth of in-car screen displays and open enterprise data models is giving automotive manufacturers and their partners a wealth of opportunities to improve service delivery and backend supply-chain management.
One of the most effective ways to address database performance and cost challenges is to modernize the underlying hardware infrastructure. Innovations such as flash storage, converged infrastructure architectures, and sophisticated data management platforms can have a major impact. Learn more in our free eBook: Optimizing Database Storage Performance for Dummies.
As the pressures of digital disruption force companies to either transform or die, companies in Asia’s BFSI sector are rushing to integrate cutting-edge technologies and roll-out innovative new services to their customers.
Fortunately, thanks to rapidly advancing technologies, developments in the regulatory landscape and the initiative of leading BFSI organisations, we are seeing incredible examples of innovation within the sector on a monthly, if not weekly, basis.
The digital economy is transforming the financial services sector. The pace of innovation is accelerating, customers have higher expectations than ever, and new competitors are emerging from nontraditional markets. At the same time, financial services has long been a favorite target of cyber attackers, and despite firms’ best efforts, cybersecurity threats are rising and attacks are more successful than ever. Financial services firms need a more effective, adaptable approach to detecting and stopping cyberthreats.
Whilst the FSI sector races to implement cutting-edge technologies such as AI, blockchain and automation, there are no mutually agreed upon set of best practices to implement these technologies. As a result, organisations are using their own blend of strategic initiatives and company culture to drive innovation, with varying levels of success. To help, this article features advice from five of the leading experts in the FSI and technology sector today.
OpenLab is a centre of innovation provided by Juniper, for business leaders who want to build network-integrated software applications and solutions quickly and securely. This is done by offering hands-on and cloud-based access to Juniper and third-party solutions including SDN sandboxes and NFV interoperability testing.
To maximize the benefits of its next-generation systems and successfully execute its information strategy, CU had to overcome its aging network. Most of CU’s network infrastructure, which was built from solutions by another vendor, was introduced in 2007, when its computing center was first built. Over time, the equipment began to fail, affecting the stability of applications which relied on network connectivity. Technical support also became a major issue as the equipment faced obsolescence and maintenance contracts with vendors expired.
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.
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
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
Prashant Pandey, CA Technologies
The advent of cloud computing and software-defined data center architectures for modern application delivery has made networking more sensitive than ever before. Applications in the digital age require networks that can expand and contract dynamically based on consumer demand. Enterprises are implementing software-defined networking (SDN) to deliver the automation required by these new environments, but the dynamic nature of SDN makes network management and monitoring fundamentally more challenging.
Network infrastructure teams need monitoring tools that can provide visibility into these new and constantly changing networks. This white paper explores the importance of SDN monitoring and examines a leading example of a solution, CA Performance Management with CA Virtual Network Assurance integration.
Data driven tools and analytics can uncover a wealth of new savings opportunities for surgery centers and surgical hospitals. And you usually don’t have to search far to uncover the savings. You can immediately tap into one source of data to find these opportunities. Every Electronic Health Record (EHR) and Practice Management System offers a set of standard reports. Stored inside are at least five ways to save. Download this whitepaper to learn about these five opportunities
When application and database numbers increase, how does an organisation avoid overstretching its staff, multiplying costs, and complications? Many companies are using Oracle Exadata—a platform that’s powerful, optimised, and cloud-ready when you are. And they’re seeing, on average, a five-year ROI of 429 percent, 94 percent less unplanned downtime, and 103 percent improvement in transaction rates. See our infographic for more significant findings.
Hyperconverged infrastructure (HCI) is the best strategic option for meeting your organization’s demands for increased efficiency and agility while leveraging existing apps and data. HCI is a scale-out software-defined infrastructure that converges core data services on flash-accelerated, industry standard servers, delivering flexible and powerful building blocks under unified management.
Put simply, HCI has the potential to revolutionise your security environment and increase efficiencies relating to application performance.
In this whitepaper, we break down the top 5 reasons why hyperconverged infrastructure is the right way forward for your organisation.
Please enter your details to access the whitepaper.
SecureWorks provides an early warning system for evolving cyber threats, enabling organisations to prevent, detect, rapidly respond to and predict cyber attacks. Combining unparalleled visibility into the global threat landscape and powered by the Counter Threat Platform — our advanced data analytics and insights engine —SecureWorks minimises risk and delivers actionable, intelligence driven security solutions for clients around the world.
Cybercriminals can be goal-driven and patient, and they often have a singular focus, plenty of time and access to vast, modern technical resources. Both organized and forum-based criminals are working constantly to find innovative and efficient ways to steal information and money with the lowest risk to their personal freedom. If we wish to stay “one step ahead” of the threats detailed in this report, awareness of online criminal threats, techniques and markets is our best defense.
Achieving and maintaining a high level of information security requires information security professionals with robust skills as well as organisational, technical and operational capabilities. The gap between intent and ability to be secure is evident in our sample of UK large enterprises. Deficient companies will only close that gap when they acquire the necessary capabilities. Some of these capabilities can be purchased as information security tools or application solutions, but it is more prudent for an organisation to consider acquiring these capabilities through a service arrangement with a dedicated security services partner.
Despite long-standing concerns captured in a myriad of surveys, security in the cloud has progressed to a more practical and achievable level.
The cloud represents a shared security responsibility model whereby that responsibility is split between the Cloud Service Provider and the cloud customer. For organisations moving some or all of their applications and data to the cloud, acceptance of this model clears the way to more thoughtful consideration for how security can and should be architected — from the ground up. As a result, IT and IT Security leaders now have a much clearer trajectory to support their business operations in the cloud in a secure manner.
Finding a strategic partnership with a trusted security expert that can assist you in all the aspects of information security is vital. SecureWorks is a market leader in security that can close the security gap in organisations by evaluating security maturity across an enterprise, help define security strategies and implement and manage security program plans. We are a true strategic partner that can help a CISO embed security at all levels of the organisation.
The SecureWorks Security and Risk Consulting practice provides expertise and analysis to help you enhance your security posture, reduce your risk, facilitate compliance and improve your operational efficiency.