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.

In response to increasingly complex cyberattacks, security pros devote resources to granular aspects of their networks. This is understandable and necessary to a degree, but it's also a great way to lose sight of your ultimate goal: protecting customers and empowering the business. Zero Trust networks accomplish the dual tasks of deep, continuous data inspection across the network and lean operation and oversight — tasks that seem mutually exclusive in traditional networks. This report highlights the eight most significant ways Zero Trust boosts security and your business. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.

Data security presents a complex challenge to organizations. The value of sensitive data, and particularly customer data, has increased exponentially over time, but with it comes an increase in potential liability and exposure. Successful enterprise security and compliance strategy needs to balance out: the rapid growth of data within organizations’ environments; the complexity of regulations and compliance across industries; and the threat of internal and external attacks.

To better understand the benefits, costs, and risks associated with a Guardium implementation, Forrester interviewed three customers with multiple years of experience using Guardium. IBM Security Guardium offers a family of integrated modules for managing the entire data security and compliance life cycle, which is built on a single, unified infrastructure with a unified user experience. Guardium is designed to support and secure a wide range of data environments, including: databases; data warehouses; file systems; and cloud, virtual, and big data-based systems.

Ponemon Institute is pleased to present The Value of Artificial Intelligence in Cybersecurity sponsored by IBM Security. The purpose of this research is to understand trends in the use of artificial intelligence and how to overcome barriers to full adoption.

Ponemon Institute surveyed 603 IT and IT security practitioners in US organizations that have either deployed or plan to deploy AI as part of their cybersecurity program or infrastructure. According to the findings, these participants strongly believe in the importance and value of AI but admit that being able to get the maximum value from technologies is a challenge.

Security testing is growing faster than any other security market, as AST solutions adapt to new development methodologies and increased application complexity. Security and risk management leaders must integrate AST into their application security programs.

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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.

The EU General Data Protection Regulation (GDPR) will go into force on May 25, 2018. Every organization — regardless of its location — doing business with EU customers will need to make changes to its oversight, technology, processes, and people to comply with the new rules. But where should you start? This report helps security and privacy professionals understand five core GDPR requirements and two related changes they need to start tackling today.

Fear of data misuse has led to both general and industry-specific data-privacy regulations worldwide that many organizations now must meet, and it’s important to embrace their requirements. The role of data-holding organizations has increasingly shifted to being stewards of information, in particular in the United States and the European Union (EU). And failure to comply with regulations can mean not only reputational damage, but substantial fines and even jail time. Just meeting compliance mandates, though, may not help you actively spot and stop a data breach.

Database security is a broad section of information security that concerns itself with protecting databases against compromises of their integrity, confidentiality and availability. It covers various security controls for the information itself stored and processed in database systems, underlying computing and network infrastructures, as well as applications accessing the data.

Guardium software provides a comprehensive solution for physical, virtual and cloud infrastructures through centralized, automated security controls across heterogeneous environments. Guardium helps streamline compliance and reduce risk, and offers installready images for IaaS deployments on major cloud platforms, such as IBM SoftLayer®, Microsoft Azure, and Amazon Web Services, and operating across Microsoft Windows, UNIX and Linux environments. The flexible Guardium architecture allows for several different deployment models. You can choose the system architecture that works for your enterprise: Guardium components can all be deployed in the cloud, or you can choose to keep some of those components, such as a central manager, on-premises.