An application or service that you develop once to run in multiple clouds has a clear advantage over one that is bound to a single OS or runtime environment. Container technology makes it possible, but container security vulnerabilities are beginning to surface. We describe 6 steps you can take to ensure that container security doesn’t become a DevOps roadblock.
Need to choose between security and performance? Read “Security at the Speed of Your Network” to learn how to use an architectural approach that improves security posture and reduces costs without painful compromises on performance. Enable security tools to work more efficiently across physical, virtual and cloud environments. Deploy a diverse set of solutions as a centralized security tool farm. You can secure more data on faster networks without compromise between security, performance and cost.
ESG outlines how improving visibility across distributed computing environments doesn’t equate with an increase in staff or tools. Read the ESG research brief and learn how visibility in a distributed network acts as the flash point that generates a host of benefits to operations teams. A common distributed data services layer lets teams collect, process and share data in order to provide better digital experiences, mitigate risk and respond to changing environments. Download now!
As the security industry continues to see a rise in breaches associated with for-profit groups, it is more important than ever to understand the motives, objectives and operations behind these threat actors. Take a look inside these financially motivated attacks in the newest cyber threat report from Gigamon Applied Threat Research. Read the threat report to gain strategic and proactive knowledge to accelerate threat detection and response to survive the onslaught of financially motivated threats.
Read “What Do You Mean TLS 1.3 Might Degrade My Security?” to learn about the good, the bad and the ugly as the industry moves to this new encryption standard. Learn how TLS 1.3 will impact your network, including the security implications. We’ll show you the potential implications for active and passive mode decryption as well as east-west traffic, what it means for threat hunting and compliance as well as how to prepare. Read now.
The prevalence and business impact of phishing email attacks continues to illustrate the ineffectiveness of current email security controls and countermeasures. To adapt and evolve with financially motivated and technically sophisticated attackers, effective email security requires a purpose-built blend of advanced technologies, human intelligence, and user behaviors.
Did you know that any organization, regardless of size and the number of in-house security personnel employed, can now automatically prevent, detect and respond to all types of sophisticated phishing techniques in real-time. Now imagine how much time, money and resources it could save your company and how much burden might be alleviated from your Security and IT teams?
Traditional email security tools have proven effective at preventing spam and traditional email phishing messages, but now face unprecedented challenges identifying, preventing and responding to modern and more sophisticated phishing attacks, such as business email compromise (BEC) and ransomware.
Learn why organizations that rely on cloud-email services must budget for advanced phishing prevention, detection and response.
While most organizations are realizing that they need to protect their employees’ mobile devices in order to protect confidential corporate data, some companies try to remain blissfully naive to the hacking opportunities smartphones and tablets present. Given the ever-growing use of mobile devices and the number of mobile cyberattacks, companies can no longer plead ignorance to these mobile threats.
Join our webinar to learn about the top 5 reasons hackers want access to your employees’ mobile devices. In this webinar, we review:
During the past few years, the phrase “Moving to the Cloud” has evolved from a marketing message to a mature business and technology strategy aimed at creating a more agile business, institution or government.
Launching a digital transformation involves a lot of planning. The entire executive team needs to define what “digital” means to your business or institution. Part of this discussion needs to include the realization that business now extends far beyond what happens within your four walls. Thanks to a number of different technologies, business knows no bounds.
Today, most organizations recognize that data is key to the ability to innovate and remain competitive in a rapidly changing business landscape. A key challenge: That’s largely because it’s difficult, time-consuming and often expensive to add new data and access paths to relational data stores. The problem is becoming increasingly acute as businesses use more unstructured information that relational databases simply weren’t designed to handle, such as data from Internet of Things devices, the Web, and social media.
To overcome this challenge, many organizations — including some of the world’s largest companies — are successfully using a proven alternative approach: a data lake. Data lakes support datasets that are extremely large, complex and diverse, and they easily accommodate new data sources such as IoT. They allow IT groups to quickly create new applications that support changing business needs, unlocking the power of complex data for all users within the organization. They also scale much more easily and cost-effectively than relational databases. As a result, data lakes enable greater responsiveness to business groups and external customers, reduced costs, and greater scalability.
As datasets become larger and more complex, it’s impossible to quickly respond to changing business needs using traditional relational data store such as data warehouse.
Finding the right cloud data management solution for your business can be difficult due to the number of potential vendors and seemingly similar offerings. Without digging deeper to uncover the details, you run the risk of selecting a solution that can result in exorbitant hidden fees, unmet service level agreements (SLAs) or vendor lock in.
There are two layers to choosing a cloud data management solution. The first is choosing the right cloud with the right pricing structure. The second is a cloud provider with enterprise support ready for multi cloud deployments and artificial intelligence (AI).
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to:
Today’s businesses run on data and the leaders that drive them must embrace forward-looking data science and artificial intelligence (AI) technologies to retain competitive differentiation. They must also reliably support increasingly complex business operations without downtime. Supporting these disparate needs once required a myriad of data platforms, but that is no longer the case.
With version 11.5, IBM Db2® is extending its legacy of dependability by adding AI functionality designed to help optimize performance and support data scientists’ mission to find deeper insights. It is both powered by and built for AI