Quantum computers will disrupt every industry. They will change the way we do business and the security we have in place to safeguard data, how we fight disease and invent new materials, and solve health and climate problems. As the race to be the first to create a commercially viable quantum computer accelerates, here are
Current generation cloud infrastructure is complex and heterogeneous in nature and its management often requires frequent human intervention. The dynamic scaling nature, rapid virtual machine deployment, and open multi-tenant architectures of the cloud also amplify the associated security issues. This creates an environment, in which local misconfiguration can create subtle security risks for the entire
1) Communication: Unclear questions and outcome metrics A fundamental challenge facing data scientists has nothing to do with ensemble algorithms, optimization methods, or computing power. Communication – prior to any analysis or data engineering – is crucial to solving an ML problem quickly and painlessly. There are many, many questions ML can solve: this is
Like with software-defined networking, Software-Defined Security (SDS) is indeed a paradigm shifter. By definition, SDS is a type of security model in which the information security in a computing environment is implemented, controlled and managed by security software, not hardware.The benefits of SDS are many. Here are the top five: 1. Simplicity: In physical data
Software defined security (SDS or SDSec) lets companies implement network segmentation, intrusion detection, and other security controls through software. It’s popular because traditional security tools, which rely on static network and machine configurations, are not well suited to the dynamic environment of virtual machines (VMs) and virtual networks. Unlike those tools, SDS relies on logical
If you’ve ever paid someone with PayPal, watched a movie recommended by Netflix or misspelled a word in a search engine and received the correct results anyway—you’ve benefited from machine learning. For years, forward thinking businesses have been exploring new ways to harness machine learning to improve the ways they serve their customers. Should your
By leveraging technoligies like SDN and NFV and therefore advancing to an evolved security architecture – organization can take advantage of the benefits and opportunities that were either not possible in the past, or were too expensive to be justified. Key benefits to businesses include: –Central management of security.Organizations can use security software, through the
At its simplest level, machine learning is defined as “the ability (for computers) to learn without being explicitly programmed.” Using mathematical techniques across huge datasets, machine learning algorithms essentially build models of behaviors and use those models as a basis for making future predictions based on newly input data. It is Netflix offering up new
The potential security benefits and drawbacks within a software-defined network (SDN) are equally great. To be effective, security needs to be everywhere – it needs to be built into the architecture, as well as delivered as a service to protect the availability, integrity and privacy of all connected resources and information. While everyone knows security
Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion. So I thought it would be worth writing a piece to explain the difference. Both