Sponsor: IBM Corporation

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.

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.

Integration platforms as a service (iPaaS) provide a centralized console to manage, govern, and integrate cloud-based applications. These tools work by connecting cloud applications and services, and controlling integration flows. They can speed up product development by integrating existing tools, and increase data volume by utilizing external sources. Companies use these tools to scale performance needs, add product functionality, and structure application integrations. Features or data can be added or removed quickly, reducing failover, downtime, and development time. There is some relationship between iPaaS and ESB software, but iPaaS is typically used for customer-facing applications, while ESB is used for internal data transfers and updates.

Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.

Whether you’re in the cloud, on mobile, on premises or in the IoT, IBM MQ simplifies, accelerates and facilitates security-rich data exchange.

Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.

Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.

The book is defining the modern APIs as flexible ways of projecting essential capabilities to an audience outside of owner team. When done right, APIs enable enterprises to innovate faster and reach new audiences. That is the value of APIs, and the author is trying to find the APIs basic nature, and what key questions should be asked when starting an API journey.

The book is defining the modern APIs as flexible ways of projecting essential capabilities to an audience outside of owner team. When done right, APIs enable enterprises to innovate faster and reach new audiences. That is the value of APIs, and the author is trying to find the APIs basic nature, and what key questions should be asked when starting an API journey.

Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.

Software applications support the most sensitive and strategically important business processes of most enterprises. Yet application security is one of the most neglected fields of cybersecurity.

IT and business management typically have no visibility into the overall state of application security. Activities for assessing, prioritizing and remediating application vulnerabilities are ad hoc, fragmented and carried out at low levels in the IT security organization. Quality assurance and software development groups lack the knowledge and incentives to address critical vulnerabilities early in application development lifecycles, where testing and fixing vulnerabilities are most cost-effective.

Ponemon Institute is pleased to present the findings of the 2017 Study on Mobile and Internet of Things Application Security sponsored by IBM and Arxan Technologies. The purpose of this research is to understand how companies are reducing the risk of mobile apps and Internet of Things (IoT) in the workplace. The risks created by mobile apps have been well researched and documented. This study reveals how companies are unprepared for risks created by vulnerabilities in IoT apps.

Five benefits of supercharging your data security and compliance efforts with a security-specific big data lake

This paper describes the roadblocks that organizations may face as they seek to take their data security and compliance efforts to the next level while juggling multiple priorities, including:

• The administrative demands imposed by the management of huge volumes of data.
• The need to retain those volumes of data over longer time horizons.
• The need to maintain or improve performance/speed of reporting.
• The need to provide direct access to data (“free” the data) to users with many different roles and responsibilities.
• The need to enrich audit data with other types of related security and compliance data while also performing complex analytics on this data to reveal new risks and/or insights.

The pages that follow will explore how organizations can take steps to address the hurdles above, and in doing so, reach new levels of efficiency and sophistication in data security and compliance management.

Data security is on everyone’s mind these days, and for good reason. Although the number of data breaches in the first half of 2017 was about the same as the first halves of 2015 and 2016, the number of records stolen between January 1 and June 30, 2017 has exceeded all of 2016. And that’s not counting one of largest security breaches of all time, announced in September. Many factors are contributing to the increase in successful attacks – the erosion of network perimeters and increased attack surfaces offered by more complex IT environments, a growing use of cloud services and the new demands that places on security practices, and the increasingly sophisticated nature of cyber criminals – and the landscape continues to evolve.

Today, the cyber-security attack surface continues to expand even as network perimeters vanish. Cyber-attackers have evolved from pranksters into organized criminals whose sole focus is separating you from your money, your data,or both. But fear not breaches can be avoided–if you know what not to do.This Battle Card highlights some common mistakes other organizations have made.