Depuis plus de vingt ans, les entreprises doivent se conformer à différentes directives et réglementations en matière de protection des données. Le Règlement général sur la protection des données (RGPD ou GDPR en anglais), qui reprend l’ensemble des législations existantes de la Commission européenne en matière de protection des données, a toutefois pour but de renforcer et d’harmoniser ces différentes réglementations pour les citoyens européens. Les principaux objectifs du RGPD sont de redonner aux citoyens un contrôle sur leurs données personnelles et de simplifier le cadre réglementaire pour les entreprises internationales. Pour les organisations déjà conformes à la Directive 95/46/CE, quels sont les critères technologiques à remplir pour garantir la conformité au RGPD ?
Dans une série d’articles, Paul Gerrard, consultant et spécialiste des tests, aborde diverses questions sur ces derniers. Les modèles de test sont essentiels pour les tests et, dans cet article, Paul Gerrard évoque l’art de créer et d’utiliser ces modèles. Si les testeurs interviennent de plus en plus tôt, de pair avec les développeurs ou du moins plus étroitement, les testeurs (et les développeurs) doivent être capables de créer des modèles, de savoir comment les articuler et les partager, ainsi que d’encourager une meilleure collaboration.
Ce document présente les résultats d’une enquête commandée par CA Technologies en vue de comprendre la situation des entreprises face aux exigences imposées par le RGPD. Ce dernier ayant de vastes implications concernant le type de données pouvant être utilisées dans les environnements autres que de production, CA Technologies souhaitait avant tout comprendre comment les entreprises envisageaient de se mettre en conformité avec le RGPD et quels sont les processus et technologies nécessaires pour y parvenir.
Générez des données virtuelles riches qui couvrent tous les scénarios possibles et fournissent un accès illimité aux environnements nécessaires pour livrer des applications testées avec soin, dans les délais et le budget impartis. Modélisez les données des systèmes réels complexes et appliquez des algorithmes d’apprentissage automatisé de règles pour éliminer la dette technique et permettre une compréhension approfondie des applications composites. Mettez en outre à la disposition des équipes distribuées des données virtuelles à la demande et évitez les goulots d’étranglement au niveau des tests.
Are you up-to-speed with the latest trends in mobile and Internet of Things (IoT) application security testing? Our recent Ponemon Institute study reveals key findings about organizations' ability to protect their mobile and IoT apps. Read our report to learn how well you stack up against your peers in securing your most critical mobile and IoT applications.
IBM retained its position as a "Leader" in the 2017 Gartner Magic Quadrant for Application Security Testing.
Read our complimentary version of the Gartner report to learn:
Critical trends in the Application Security Testing market.
Why IBM maintained a Leadership position in a report that spanned 18 Application Security vendors.
Detailed criteria that determine how all of the vendors are positioned in the Magic Quadrant.
New headlines provide ongoing evidence that IT Security teams are losing the battle against attackers, reinforcing the need to address the security of enterprise applications.This Analyst Insight reviews several practical steps you can take to get started now.
This report presents the results of ESG Lab’s validation testing of the McAfee Next Generation Firewall. Integrating application control, intrusion detection, and evasion prevention, the product is designed to provide next generation firewall services, leveraging a unified software core to enable the deployment of multiple security services when and where they are needed.
Read this executive brief from Quinn Street to learn how:
• Advances in mobility and durability are allowing computing devices to leave the office and be used in field environments
• Organizations that invest in rugged devices for field operations will see a better return on investment compared to non-rugged devices
• Discover how Dell’s investment in real-world testing helps its rugged devices stand up to harsh environments
If you’re managing an IT team, you may be turning to DevOps as the path to faster delivery of software.
DevOps can help your team become more efficient — and your organization more competitive — but you’ll need to be able to communicate to your team why things are changing, and how their usual working practices are likely to alter.
Download this guide to explore:
• How to align DevOps with your organization’s goals.
• What change might look like — for operations, development and the organization at large.
• Why security is a great icebreaker.
• The importance of focusing on the team over individual DevOps specialists.
• How to embrace agile ways of working, along with infrastructure as code, code review, continuous integration and unit testing.
At Puppet, we've been looking at the state of DevOps practices for several years and helping organizations achieve higher levels of efficiency.
We’ve learned a lot about the impact of DevOps at varying stages of IT automation maturity.
As DevOps has moved from theory to implementation for more organizations, a host of DevOps myths have blocked adoption in many organizations.
This publication debunks these myths so your organization can automate, innovate, and get ahead.
Download this publication, featuring research from Gartner, to discover:
- Why DevOps is applicable to legacy environments, traditional enterprises and hierarchical organizations.
- Practices that underpin DevOps, from version control to automated testing to infrastructure as code.
- How companies like Walmart, Staples, Ambit Energy and Infusionsoft have embraced DevOps and IT automation.
HP QC isn’t relieving the complexity of testing. Learn how to extend Quality Assurance (QA) from technical testing to business process validation. Read the whitepaper to simplify and standardize your testing today.
Technical Tests are designed to cover specific services. Each
security test has its own objectives and acceptable levels
of risk. There is not an individual technique that provides a
comprehensive picture of an organization’s security when
executed alone. A qualified third party can work with you to
determine what combination of techniques you should use
to evaluate your security posture and controls to begin to
determine where you may be vulnerable.
Published By: Applause
Published Date: Jul 14, 2017
You only get once chance to make a first impression and a good impression of your product is key to keeping customers engaged and happy. Gain access to six steps that will help your organization launch an intuitive app with the support of crowdsourced usability testing in our free eBook.
Over the last several years CA Technologies has acquired a number of companies and their respective products, to augment its continuous delivery suite and, especially, its DevTest portfolio. In particular, it has recently acquired Grid-Tools and Rally Software. Bloor Research has been asked to explore how Grid Tools’ products – now known as CA Test Data Manager (formerly Datamaker and CA Datafinder) and CA Agile Requirements Designer (formerly Agile Designer) expand and augment the capabilities provided by CA Service Virtualization (previously iTKO’s LISA) and CA Agile Central (formerly Rally), making the whole greater than the sum of the parts.
CA’s portfolio is designed to drive efficiency from planning through production. A core component of our continuous delivery portfolio is CA Release Automation, a market-leading application release automation solution that delivers full application deployment automation and release coordination across stages, environments and teams. The solution’s analytic capabilities enable DevOps teams to plan, manage, analyze and optimize the continuous delivery pipeline from a single control point. In addition, the portfolio includes CA Agile Central, CA Agile Requirements Designer, CA Service Virtualization and CA Test Data Manager. We continue to invest in and enhance the portfolio, most recently via the acquisition of BlazeMeter, an innovative, SaaS-based performance and load-testing solution.
Software delivery processes and systems, and the people involved with them, are under increasing pressure. Sometimes it’s digital transformation, other times it’s simply the challenge of keeping up with the demands created by ever more dynamic markets and an escalating pace of change. None of this is news, but is does provide an important backdrop to the discussion of how software delivery needs to evolve, especially given that traditional methods and approaches were never designed to deal with the fastmoving and unpredictable environment you are probably working in today.
One way to shift testing practices earlier in your software lifecycle is by using multi-layered visual models to specify requirements in a way where all ambiguity is inherently removed. With unambiguous and complete requirements, developers introduce less defects into their code and manual test cases, automated test scripts and required test data can be automatically generated based on the requirement, without manual intervention.
Take an idea from design to deployment at pace— without compromising quality—using an end-to-end, continuous delivery ecosystem that’s capable of driving rigorous testing from the desired user functionality.
Ubiquitous connectivity and mobile devices have changed everything, opening up markets to millions of new consumers across the globe. Within the past few years, nimble upstarts have created mobile apps that have converted banking customers, cab riders and hotel guests at unprecedented rates. Large, established brands are scrambling to transform their businesses in order to maintain market share. To compete in this application economy, you must adapt or be left behind.
In a series of articles Paul Gerrard, a testing guru and consultant, discusses a range of testing topics. Test models are fundamental to testing and, in this article, Paul talks about the art of creating and using models. If testers are “shifting left,” pairing with developers or at least working more closely with developers, testers (and developers) need to be able to create models, learn how to articulate and share them, and support better collaboration.
Generate rich virtual data that covers the full range of possible scenarios and provide the unconstrained access to environments needed to deliver rigorously tested applications on time and within budget. Model complex live system data and apply automated rule-learning algorithms to pay off technical debt and uncover in depth understanding of composite applications, while exposing virtual data to distributed teams on demand and avoiding testing bottlenecks.