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On the Radar: Carbon Black defends against malware and fileless attacks

Carbon Black develops security technology in three areas: endpoint protection, threat hunting/incident response, and application control. This report focuses on Cb Defense, which is the company’s endpoint protection platform (EPP).

With threat actors increasingly moving to circumvent anti-malware systems by compromising legitimate on-device tools, there is a growing need for technology that can address malware, file-less attacks, and in-memory attacks. Carbon Black addresses this requirement and is well positioned to grow its market share as a result




Future-proof your ransomware defenses

Ransomware isn’t new. In fact, it’s 30-years-old. What IS new is ransomware’s sudden rise as a favored attack by cyber criminals. Cyber crime has become a lucrative business and, unfortunately, ransomware has become an integral attack method that many organisations are fighting a losing battle against.

Ransomware attackers are implementing new, innovative techniques that employ unknown binaries and non-malware tactics to evade and bypass traditional defenses. Their encryption techniques go beyond simple files and shares to make it even harder to restore using backups. And their primary targets are increasingly becoming organisations (not just individuals), with much more to lose (and more money to payout).




A practitioners approach to deep learning

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.

Dive into machine learning concepts in general, as well as deep learning in particular understand how deep networks evolved from neural network fundamentals. Explore the major deep network architectures, including Convolutional and Recurrent. Learn how to map specific deep networks to the right problem. Walk through the fundamentals of tuning general neural networks and specific deep network architectures.




Deep learning pipeline powered by FlashBlade

Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA DGX-1, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.




Accelerate deep learning with a modern data platform

In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights for the massive amounts of data. Many organization are now using AI for leading-edge research or as a competitive advantage. This Datanami white paper not only covers the societal impacts of deep learning, but it also discusses why traditional storage can't meet deep learning needs and how having the right data hub can help deliver data throughput for AI.




Modern storage accelerates data insights, speeding innovation

Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.




Guide to supporting on-premise spark deployment with a could-scale platform

With the growth of unstructured data and the challenges of modern workloads such as Apache Spark, IT teams have seen a clear need during the past few years for a new type of all-flash storage solution, one that has been designed specifically for users requiring high levels of performance in file- and object-based environments. With FlashBlade, it addresses performance challenges in Spark environments by delivering the consistent performance of all-flash storage with no caching or tiering, as well as fast metadata operations and instant metadata queries.




AI, analytics and the future of your enterprise

Data is the new currency. Is your organization capitalizing on the full potential of data analytics? In this big data primer, you will learn about the 3 key challenges facing organizations today: managing overwhelming amounts of data, leveraging new complex tools/technologies, and developing the necessary skills and infrastructure. And since storage is where your organization's data lives, it’s a pivotal part of the infrastructure jigsaw puzzle. Thus with a “tuned for everything” storage solution that is purpose-built for modern analytics, you can confidently harness the power of your data to drive your enterprise forward.




Find the Right Accelerator for Your Deep Learning Needs

Building AI infrastructure strategies can be challenging, especially for compute-intensive deep learning workloads. I&O leaders must choose the right accelerators for devising effective deep learning compute infrastructure strategies.




Global Interconnection index

As business models become increasingly distributed and dependent on the real-time engagement of many more users, partners and service providers, a company's ability to transform into a digital business has become a matter of survival.

Organisations must take swift and decisive action to scale their digital platforms or risk extinction. And the only way to do that is through dynamic, on-demand, anytime, anywhere Interconnection. This means deploying IT traffic exchange points and provisioning Interconnection Bandwidth to Integrate direct private connections between counterpartires and providers. These traffic exchange points are hosted in carrier-neutral data center campuses with distributed, colocated IT components. Without this vital fuel, digital business falters.




Fueling the explosion of the digital economy

All around the world, Interconnection is changing the face of digital infrastructure and enabling businesses to serve customers in unprecedented ways. To succeed in today's rapidly transforming economy, every business must understand - and leverage - Interconnection.

The deployment of IT traffic exchange points integrating direct private connections between counterparties, hosted in carrier-neutral data center campuses, with distributed IT components colocated.




How to optimise your faxing processes

As more services become available via IP — voice, videoconferencing, instant messaging — businesses are moving to Unified Communications (UC) platforms, converging all voice and data into a centralised IP environment. But what happens to an organisation’s fax processes in an IP migration?

Many of these businesses understandably assume that in their adoption of a UC platform, fax would also make a seamless transition. But these businesses often discover — usually only after the migration — that IP presents unique technological challenges for fax that make the newer systems even more troubleprone than legacy, analogue fax infrastructures.




Hybrid cloud and data fabric for dummies

Read the ebook Hybrid Cloud & Data Fabric for Dummies to learn how a Data Fabric can ease data management complexity within a hybrid cloud and help you maximize the control of your data – from anywhere at any time.

Find out how to: - Seamlessly and dynamically move data across private and public cloud resources - Keep data secure and minimize business disruptions - Improve operational efficiencies, lower costs and predict application performance




A deeper dive into hybrid cloud storage

This report from 451 Research examines the challenges faced by IT teams managing data in a hybrid cloud environment. It identifies key considerations in the areas of security, cost management, and performance​ and provides recommendations ​​for both cloud managers and administrators​.