A multi-cloud world is quickly becoming the new normal for many enterprises. But embarking on a cloud journey and managing cloud-based services across multiple providers can seem overwhelming.
Even the term multi-cloud can be confusing. Multi-cloud is not the same as hybrid cloud. The technical definition of hybrid cloud is an environment that includes traditional data centers with physical servers, private cloud with virtualized servers as well as public cloud provisioned by service providers. Quite often, multi-cloud simply means that an organization uses multiple public clouds from many vendors to deliver its IT services. In other words, organizations can have a multi-cloud without having a hybrid cloud, or they can have a multi-cloud as part of a hybrid cloud.
Take a look at the IT ecosystem of any company today and there’s a good chance you’ll find it includes offerings from several cloud services providers. That’s certainly the case at mid- to large-sized companies with at least 500 employees, according to a recent survey conducted by IDG Research.
The survey of 100 senior IT professionals found that 59% are already multi-cloud adopters — that is, using computing and storage services from two or more cloud providers. Another 31% of respondents say they plan to become multi-cloud organizations in the coming 12-24 months, with only 10% still in the “consideration” phase.
The General Data Protection Regulation (GDPR) framework seeks to create a
harmonized data protection framework across the European Union, and aims
to give back EU citizens control of their personal data by imposing stricter
requirements for those hosting and processing this data, anywhere in the
IBM is committed to putting data responsibility first and providing solutions
that are secure to the core for all customers. As such, IBM Cloud has fully
adopted the EU Data Protection Code of Conduct for Cloud Service providers
– meaning we agree to meet the entirety of its stringent requirements.
The EU General Data Protection Regulation (GDPR) has arrived. Every company doing business with
European customers — regardless of location — must make considerable governance, people, process,
and technology changes to comply with the new rules. While companies have made progress, more work
remains. To succeed, they must tackle key challenges, including data identification, mapping, and access
management. Despite the work ahead, forward-looking businesses understand GDPR is an opportunity.
This is a transformation for a data-savvy world, with the potential to yield enhanced customer and
business benefits. Investment in solutions with data privacy, security, and compliance offerings that can
protect data no matter where it’s stored — on-premises and in the cloud — can ease companies along
their readiness journeys and help them achieve and sustain compliance from May 25, 2018, and onward
Trust can be viewed as a key factor amongst clients and service providers
working together towards preparing for readiness with the EU General
Data Protection Regulation (GDPR). These stringent regulations come into
force in May 2018 to ensure that personal data is processed adhering to strict
privacy and security requirements.
After moving traditional workloads to public cloud, most customers realize they must replace many of them with cloud-native alternatives to reap the full benefits. Technology product management leaders must deliver cloud-native offerings now to capture business opportunities and avoid irrelevancy.
In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, evergage, google, IBM, localytics, Mixpanel, optimizely, sAs, and Webtrekk — and researched, analyzed, and scored them. this report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
A range of application security tools was developed to support the efforts to secure the enterprise from the threat posed by insecure applications. But in the ever-changing landscape of application security, how does an organization choose the right set of tools to mitigate the risks their applications pose to their environment? Equally important, how, when, and by whom are these tools used most effectively?
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
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.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
This white paper will provide a road map to the most effective strategies and technologies to protect data and provide fast recovery should data be lost or corrupted due to accident or malicious action.
Journaling is a powerful feature, one that IBM has continued to develop and improve over the years. Yet, depending upon your business requirements, you probably still need more protection against downtime than journaling alone can provide. This white paper will cover what you need to know about journaling, what it can do and how it supports and cooperates with high availability software.
Achieving effective and efficient high availability protection for larger IBM i environments requires careful thought and clear understanding of the technology options. This white paper describes what you need to know in order to make an informed decision about IBM i high availability strategies so that your business requirements for Recovery Time Objective (RTO) and Recovery Point Objective (RPO) are not compromised
This white paper provides a road map to the most effective strategies and technologies to protect data in AIX environments and provide fast recovery should data be lost or corrupted due to accident or malicious action. The paper also outlines the benefits of continuous data protection (CDP) technologies for AIX.
Continuous member service is an important deliverable for credit unions, and. the continued growth in assets and members means that the impact of downtime is affecting a larger base and is therefore potentially much more costly. Learn how new data protection and recovery technologies are making a huge impact on downtime for credit unions that depend on AIX-hosted applications.
As of May 25, 2018, organizations around the world—not just those based in the EU—need to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU.
IBM® Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running.
There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so after GDPR went into effect May 25, 2018.
Under GDPR, organizations are subject to new, uniform data protection requirements—or could potentially face hefty fines. So what factors played into GDPR’s passage?
• Changes in users and data. The number, types and actions of users are constantly increasing. The same is true with data. The types and amount of information organizations collect and store is skyrocketing. Critical information should be protected, but often it’s unknown where the data resides, who can access it, when they can access it or what happens once