Sponsor: IBM Corporation

Businesses are embracing hybrid multicloud-based deployment models in order to gain agility and drive their organizations forward. But such a deployment can increase the attack surface, potentially resulting in a host of new data security and compliance challenges.

Learn how IBM Security Guardium—with broad visibility and monitoring, actionable insights and remediation controls—can help you take a smarter, integrated approach to safeguarding critical data across hybrid, multicloud environments.

Organizations are rapidly moving to the cloud, leveraging infrastructure as a service (IaaS), software-as-a-service (SaaS), platform as-a-service (PaaS), and Database as-a-service as new ways to optimize their business, even though these environments present new risks to sensitive data.

Data security solutions must be able to operate across multiple environments (physical, cloud and hybrid).

Read this ebook to learn more about how to secure sensitive data across a variety of environments, and how the IBM Data Security portfolio can help.

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.

Are you planning to implement a data security solution that monitors activity in on-premises and DBaaS sources? See how Guardium Insights for Cloud Pak for Security can enhance visibility, cut response time, surface key risk insights to uncover hidden threats—and deploy it anywhere.

Is your company planning a Data Security solution purchase to meet the needs of protecting growing number of data sources and cloud-based technologies? See how IBM Security Guardium Data Protection can help protect your data at the source to and address data risk and compliance requirements across the hybrid cloud.

Is your data security practice all that it should be? This ebook looks at five of the most prevalent and avoidable data security missteps organizations are making today, and how these "common pitfalls" can result in potentially disastrous attacks.

As firms face a growing list of data protection regulations and customers become more knowledgeable about their privacy rights, developing a data privacy competence has never been more important. Sustained compliance delivers a number of benefits, but firms with reactive and siloed privacy tactics will fail to capitalize on them.

Forrester Consulting evaluates the state of enterprises’ data privacy compliance in a shifting regulatory landscape by surveying global enterprise decision makers with responsibility over privacy or data protection. This report analyzes how they are evolving to meet the heightened data protection and privacy expectations of legislators and consumers, along with the benefits they can expect from a holistic data privacy approach.

As firms face a growing list of data protection regulations and customers become more knowledgeable about their privacy rights, developing a data privacy competence has never been more important. Sustained compliance delivers a number of benefits, but firms with reactive and siloed privacy tactics will fail to capitalize on them.

Forrester Consulting evaluates the state of enterprises’ data privacy compliance in a shifting regulatory landscape by surveying global enterprise decision makers with responsibility over privacy or data protection. This report analyzes how they are evolving to meet the heightened data protection and privacy expectations of legislators and consumers, along with the benefits they can expect from a holistic data privacy approach.

This white paper highlights how organizations can adopt a next generation data security strategy that bridges security technologies deployed across heterogeneous and highly distributed environments. Organizations are lacking a centralized view of their data security risk posture, compounded by the complexity of managing security across distributed environments. This lack of visibility results in an ineffective way of prioritizing alerts and assessing the business impact of lost or stolen data assets. Taking a holistic approach affords organizations a comprehensive view of existing security risks to sensitive data.

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.

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.

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:

• 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.