Given today’s threat environment, security teams now realize that they must assume their IT environments are subject to periodic compromise. Gone are the days when preventive measures to secure the perimeter or trying to detect malware problems using signature match technologies were enough. New practices based on an understanding of the phases of an attack, continuous threat monitoring, and rapid attack detection and remediation are required. Find out more.
It’s an exciting yet daunting time to be a security professional. Security threats are becoming more aggressive and voracious. This whitepaper examines the escalating complexity for the security management environment; how to get more meaning from data already collected and the combination of infrastructure, analytic tools and threat intelligence need to drive business value from Big Data. Download now.
Big Data techniques are seen as increasingly valuable by organisations seeking to maximize their security intelligence. Security teams that leverage big data security analytics can cut the time taken for threat detection and investigation from days to minutes. But the gap is widening….read on.
Large organisations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous monitoring and data analysis for up‐to-the‐minute situational awareness and rapid data-driven security decisions. This means that large organisations have entered the era of big data security analytics. Learn more.
The risks facing high-speed data networks and unencrypted data while in motion are very real and on the rise. As information becomes one of the most valuable ‘off balance sheet’ assets, protection of that information and the investment in it is a paramount obligation of office-holders and management. Read now for a better understanding of the risks to data in motion.
If business-relevant information is not well managed, secured and analysed, it can become an underutilized asset or—worst case—a legal and competitive liability. Nearly all of the IT and business executives who responded to a recent survey recognise this risk, and say they understand the importance of having an enterprise information management (EIM) strategy. Find out more on how to reduce costs, improve competitiveness and avoid risk by making information management an enterprisewide strategic priority.
Planning a Big Data architecture is not about understanding just what is different. It’s also about how to integrate what’s new to what you already have – from database-and-BI infrastructure to IT tools, and end user applications. This whitepaper, discusses adding Big Data capabilities to your overall information architecture, planning for adoption using an enterprise architecture perspective, and describe some key use cases. Download now.
There are four key characteristics that define big data: Volume, Velocity, Variety and Value. Volume and velocity aren't necessarily new problems for IT managers; these issues are just amplified today. The distinguishing characteristics of big data that do create new problems are the variety and low density value of the data. Learn more.
In this IDC whitepaper, we look at an overview of the forces driving change within today's IT organisations and datacentres and specifically how backup and recovery can enable or hinder broader IT infrastructure and business transformation. Download now.
In this paper, we will discuss how cloud-based services, predictive analytics, social media analytics,
big data, and mobile computing are combining to take business intelligence beyond traditional
boundaries and transform the way critical decisions are made. We will also highlight Information
Builders’ solutions and share two use cases, which demonstrate how two organisations – a law
enforcement agency and a retailer – might use available tools and technologies to tap into the
wealth of information available.
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