Using the MITRE ATT&CK Knowledge Base to Improve Threat Hunting and Incident Response

The MITRE ATT&CK framework is a globally-accessible knowledge base of adversary tactics and techniques based on real-world observations.

This paper describes the MITRE ATT&CK framework including:

What the model offers to SOC analysts

Why you should consider using the knowledge base

Security leaders and practitioners will find this paper useful for planning security solutions to stay ahead of adversaries.

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MaestroQA – Mabl Customer Story

MaestroQA is a technology company based in New York City that is focused on helping a wide variety of notable brands – like SeatGeek, Harry’s, and Spot Hero - deliver exceptional support and service experiences to their customers. Part of being a fast-growing company, working with a broad range of customers, the MaestroQA team frequently uncovers new challenges to solve with their quality assurance software, so being able to rapidly adapt to the market is essential for their overall business and team success.

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Migrate your data lake to the public cloud with zero-disruption

Data lakes are becoming ever more tightly integrated into essential operational services. For born-in-the cloud enterprises, dialing up capacity to expand analytics services is relatively straightforward. However, for businesses operating on-premises data lakes, expansion can be costly and slow—which puts them at a significant competitive disadvantage.

For these enterprises, migrating on-premises data lakes to the public cloud promises a cost-effective way to gain leading-edge analytics capabilities and practically unlimited scalability. However, the perceived need for an extended period of downtime during the cloud migration can make these projects seem too costly, painful and risky.

In this eBook, WANdisco explains why continuous data replication is the key to achieving a low-risk, seamless data lake migration. With the WANdisco Fusion platform enforcing strong consistency between data on premises and in the cloud, businesses can run both environments in parallel for as long as they need to—and switch seamlessly to the cloud as soon as they are ready. The result is a simple, automated Hadoop migration with no disruption to the business.

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Comparing WANdisco LiveMigrator to Cloudera BDR

Over the past few years, distributed data caches and cluster-based distributed data environments became popular with large scale IT systems. Hadoop now provides the data scalability solution to Facebook and many other large systems. Apache designed Hadoop to scale up from single servers to thousands of machines, each offering local computation and storage. Now, customers are looking to migrate their on-premises Hadoop systems to public cloud environments, but need to minimize risk, business disruption, and cost.

This paper examines the functional and performance differences between two Hadoop migration tools: WANdisco LiveMigrator and Cloudera BDR.

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Hadoop Migration Made Simple

With WANdisco's LiveData approach to big data migration to the cloud, there is no application downtime during migration and no data inconsistencies, even when data sets are under active change.

This whitepaper will explore an effective, automated approach to cloud, on-premises and multi-vendor Hadoop migrations.

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Hadoop Data Migration Benchmark Report

The cloud is a natural home for big data. In the cloud, companies can take advantage of cheap, scalable storage and compute platforms leveraging an OPEX model. Cloud Service Providers (CSPs) are able to spin massive compute clusters up or down automatically, helping organizations optimize costs and reduce the need for people with deep expertise in managing such deployments. CSPs have also enhanced their big data solutions providing greater functionality over native Hadoop offerings, and greatly simplifying the complexities for organizations having to manage their own Hadoop implementations.

This eBook explores some of the business risks associated with big data to cloud migrations. It highlights third-party research as well as results of a survey conducted with 80 cloud and data architects, and other technical specialists to provide insights on their data migration plans and strategies, and compares the costs and risks associated with manual vs automated big data migrations.

View Now

Migrate your data lake to the public cloud with zero-disruption

Data lakes are becoming ever more tightly integrated into essential operational services. For born-in-the cloud enterprises, dialing up capacity to expand analytics services is relatively straightforward. However, for businesses operating on-premises data lakes, expansion can be costly and slow—which puts them at a significant competitive disadvantage.

For these enterprises, migrating on-premises data lakes to the public cloud promises a cost-effective way to gain leading-edge analytics capabilities and practically unlimited scalability. However, the perceived need for an extended period of downtime during the cloud migration can make these projects seem too costly, painful and risky.

In this eBook, WANdisco explains why continuous data replication is the key to achieving a low-risk, seamless data lake migration. With the WANdisco Fusion platform enforcing strong consistency between data on premises and in the cloud, businesses can run both environments in parallel for as long as they need to—and switch seamlessly to the cloud as soon as they are ready. The result is a simple, automated Hadoop migration with no disruption to the business.

View Now

Comparing WANdisco LiveMigrator to Cloudera BDR

Over the past few years, distributed data caches and cluster-based distributed data environments became popular with large scale IT systems. Hadoop now provides the data scalability solution to Facebook and many other large systems. Apache designed Hadoop to scale up from single servers to thousands of machines, each offering local computation and storage. Now, customers are looking to migrate their on-premises Hadoop systems to public cloud environments, but need to minimize risk, business disruption, and cost.

This paper examines the functional and performance differences between two Hadoop migration tools: WANdisco LiveMigrator and Cloudera BDR.

View Now

Hadoop Migration Made Simple

With WANdisco's LiveData approach to big data migration to the cloud, there is no application downtime during migration and no data inconsistencies, even when data sets are under active change.

This whitepaper will explore an effective, automated approach to cloud, on-premises and multi-vendor Hadoop migrations.

Get Whitepaper

Hadoop Data Migration Benchmark Report

The cloud is a natural home for big data. In the cloud, companies can take advantage of cheap, scalable storage and compute platforms leveraging an OPEX model. Cloud Service Providers (CSPs) are able to spin massive compute clusters up or down automatically, helping organizations optimize costs and reduce the need for people with deep expertise in managing such deployments. CSPs have also enhanced their big data solutions providing greater functionality over native Hadoop offerings, and greatly simplifying the complexities for organizations having to manage their own Hadoop implementations.

This eBook explores some of the business risks associated with big data to cloud migrations. It highlights third-party research as well as results of a survey conducted with 80 cloud and data architects, and other technical specialists to provide insights on their data migration plans and strategies, and compares the costs and risks associated with manual vs automated big data migrations.

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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.

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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.

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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.

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The Era of Intelligent Testing

The state of the art in software testing has not kept pace with advances in software development over the past 10 years. Modern quality assurance (QA) groups struggle to play their role in a world of continuous delivery, leading to more defects in production, low QA morale and excessive testing overhead.

Thankfully, innovations in machine intelligence and test automation have laid the groundwork for a better model—one that will allow QA to keep pace with development, increase productivity, improve product quality, and raise customer satisfaction across the software industry.

This white paper will cover why we need a new QA toolset and the ever-changing future of QA testing.

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The Complete Guide to Shift Left Testing

In an Agile world, software and IT teams are under constant pressure to move faster. Typically, this means decreasing the relative length of delivery time while continuing to improve quality on each successive release. At the same time, there’s always pressure to minimize testing costs.

This e-book will cover 1) why you won’t survive if you don’t shift, 2) how your testing processes should change when you adopt a shift-left testing methodology, 3) who needs to be involved in this movement and how, and lastly, 4) we’ll hear from individuals about how they pioneered the shift in their teams.

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