Office 365 is Not Built to Defend Against Modern Real-World Email Threats
Learn why organizations that rely on cloud-email services must budget for advanced phishing prevention, detection and response.
Online Briefing: Top 5 Reasons Hackers Want Your Employees’ Phone
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:
- Ways hackers can compromise mobile devices
- How hackers weaponize devices and gain access to corporate information and systems
- The best approach for protecting your company, employees and customers from these mobile threats
Managing Digital Transformation in a Boundaryless World
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.
HPCC Systems: The End-to-End Data Lake Management Solution
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.
SaaS Buyer’s Guide
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).
IBM Integrated Analytics System: Do Data Science Faster
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:
- Harness exponential data growth as well as semi-structured and unstructured data.
- Aggregate disparate data across your organization,whether on-premises or in the cloud.
- Support the analytics needs of your data scientists, line of business owners and developers.
- Minimize difficulties in developing and deploying even the most advanced analytics workloads.
- Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance.
IBM Db2: The AI Database
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
8 Ways to Modernize your Data Management
Effectively using and managing information is critical to pursuing new business opportunities, attracting and retaining customers, and streamlining operations. However, these needs create an array of workload challenges and increase demands on underlying IT infrastructure and database systems that are often not up to the task.
The question is, how will you solve for these challenges? Will you allocate more staff to keep up with patches, add-ons and continual tuning required by existing systems, or simply ignore the potential insights that lie in this wealth of new data? Many businesses are facing this challenge head-on by seeking out new solutions that leverage artificial intelligence (AI) as well as multiple capabilities and deployment options from on-premises, public and private clouds to innovate their data infrastructure and business.
Understanding Network TAPs – The First Step to Visibility
A network TAP is a simple device that connects directly to the cabling infrastructure to split or copy packets for use in analysis, security or general network management. Although the term “Tap” predates the networking industry by decades, the IT industry has generally adopted the term to mean Test Access Point. Thus, TAP is considered an acronym.
Definitive Guide to Next-Generation Network Packet Brokers
Packets arrive, Packets seen, Packets conquered. Find out how next-generation network packet brokers offer powerful visibility and insights into network traffic while reducing risk, complexity and costs.
Download the new Definitive Guide™ to Next-Generation Network Packet Brokers and discover the immediate benefits of shifting your infrastructure strategy to include NGNPBs. You’ll experience expanded feature sets that simplify your architecture, realize the true ROI of your security tools and give you visibility into critical security threats.
EMA: Understanding the Value of Application Aware Network Operations
Application-level visibility is a must-have to ensure strong service quality, end-user experience and performance as well as to reduce security risk. But achieving it is hard. What’s needed are application-aware network packet brokers (NPBs) to reduce the overhead on packet inspection by delivering only relevant data to tools.
Download the EMA report, “Understanding the Value of Application-Aware Network Operations” to learn more about the benefits of true application visibility needed for today’s operations. Download now!
ZK Research: How to Build a Solid Business Case for the Purchase of a Next-Generation Network Packet Broker
While it’s easy for a network or security architect to grasp the need for network packet brokers (NPBs), that’s not always the case for the people in charge of budgets—company executives and the finance department. This white paper is designed to help you communicate the value of next generation network packet brokers (NGNPBs).
Overcome the challenges of protecting data that is here, there and everywhere
When it comes to cloud environments, whether in the public cloud or a privately hosted or hybrid environment, data security and protection controls must protect sensitive data—and support constantly growing government and industry compliance requirements. Read this ebook to learn how data security and protection technologies should operate in multiple environments (physical, cloud and hybrid) at the same time.
Securing Cloud environments: Five Data Encryption best practices to help reduce your risk
From the perspectives of both data protection and regulatory compliance, it is just as critical to protect sensitive cloud-based data as it is on-premises data. One way to do this is through data encryption, yet many business’s encryption efforts are mired in fragmented approaches, siloed strategies for policy management and compliance reporting, and decentralized key management. These situations have all contributed to making encryption complicated and difficult to implement and manage.
This paper looks at 5 best practices for securing data in multi-cloud environments using the latest data encryption technologies.
KuppingerCole Report Leadership Compass Database and Big Data Security
This Leadership Compass from analyst firm KuppingerCole provides an overview of the market for database and big data security solutions along with guidance and recommendations for finding the sensitive data protection products that best meet client’s requirements.
The report examines a broad range of technologies, vendor product and service functionality, relative market shares, and innovative approaches to implementing consistent and comprehensive data protection across the enterprise.