big security data

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Published By: Cambridge Semantics     Published Date: May 11, 2016
With the explosive growth of Big Data, IT professionals find their time and resources squeezed between managing increasingly large and diverse siloed data stores and increased user demands for timely, accurate data. The graph-based ANZO Smart Data Manager is built to relieve these burdens by automating the process of managing, cataloging and governing data at enterprise scale and security. Anzo Smart Data Manager allows companies to truly understand their data ecosystems and leverage the metadata within it.
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Cambridge Semantics
Published By: Sqrrl Data, Inc.     Published Date: Jun 02, 2014
With the dissolution of the “trusted zone”, Data-Centric Security is a key enabler for Big Data applications. Sqrrl's Enterprise is a NoSQL database that is built with a Data-Centric Security implementation that includes cell-level security labeling and enforcement, encryption at rest, encryption in motion, an automated data labeling engine, a security policy specification engine, custom secure search indexing, and an audit facility.
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Sqrrl Data, Inc.
Published By: Carbonite     Published Date: Oct 10, 2018
Not long ago, the biggest concern for IT decision makers considering moving workloads to the cloud was security. That’s no longer the case. Today, the main obstacle to cloud adoption is different but familiar: the pain of migrating data.
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Carbonite
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle CX
Published By: Infosys     Published Date: May 30, 2018
In the wake of data hacks and privacy concerns, enterprises are working extra hard to make sure they secure customer data from external threats. But what about securing data internally? Organizations unknowingly leave a big security hole in their own systems when they fail to have structured internal processes to handle access requests for employees, which could have disastrous implications for data security. A leading US bank sought to move its internal applications to a secure system for a standard and consistent access rights experience. See how Infosys helped and the five key takeaways from the project.
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internal, applications, data, hacks, privacy, enterprises
    
Infosys
Published By: Amazon Web Services     Published Date: Jul 25, 2018
As easy as it is to get swept up by the hype surrounding big data, it’s just as easy for organizations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data’s power to transform business, it’s critical that organizations overcome these challenges and realize the value of big data. Download now to find out more.
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Amazon Web Services
Published By: Microsoft     Published Date: Jul 07, 2016
Enable, protect, and manage mobile productivity Protecting email and other corporate data on mobile devices—without bogging down workers—is one of today’s biggest challenges faced by IT pros today. With the massive, global proliferation of mobile devices, it can be a struggle to manage and secure these devices and your data, both on approved enterprise applications and shadow IT. Download this free e-book to learn how to control the uncontrollable and create a solution that: • Enables continuous management, so your employees are more productive. • Offers threat protection, so you can detect abnormal user behavior, suspicious activities, known malicious attacks, and security issues right away. • Guards against data leakage. • Provides security after loss or theft of mobile devices. • Helps protect your Microsoft Office email, files, and apps.
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mobile devices, enterprise, best practices, management
    
Microsoft
Published By: IBM     Published Date: Jun 16, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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cloud computing, mobility, big data, business analytics, it security landscape, enterprise networks, cloud integration, virtualization, data integration, infrastructure management
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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the cloud, mobile, mobility, social, analytics, networks, enterprise network, big data, network infrastructure, data center
    
IBM
Published By: Carbonite     Published Date: Oct 05, 2017
Not long ago, the biggest concern for IT decision makers considering moving workloads to the cloud was security. That’s no longer the case. Today, the main obstacle to cloud adoption is different but familiar: the pain of migrating data. Traditional data migration causes major headaches: • Hours or days of downtime while servers replicate and stakeholders verify functionality • Data loss and migration failures due to inadequate tools and inability to test • Key internal resources diverted from strategic initiatives
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data migration, cloud security, carbonite, data security, cloud platform, cloud adoption
    
Carbonite
Published By: IBM     Published Date: Jul 26, 2017
Data—dynamic, in demand and distributed—is challenging to secure. But you need to protect sensitive data, whether it’s stored on premises, off-site, or in big-data, private- or hybrid-cloud environments. Protecting sensitive data can take many forms, but nearly any organization needs to keep its data accessible, protect data from loss or compromise, and comply with a raft of regulations and mandates. These can include the Payment Card Industry Data Security Standard (PCI DSS), the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the European Union (EU) General Data Protection Regulation (GDPR). Even in the cloud, where you may have less immediate control, you must still control your sensitive data—and compliance mandates still apply.
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data, security, encryption, cloud environments, data regulation
    
IBM
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
It’s 2017. 29% of the global workforce is fully mobile, allowing productivity to skyrocket. Mobility is achievable for any business, but there are significant obstacles along the way. Does your workplace know enough about security and implementation to join in? This Whitepaper will help you overcome the biggest barriers to mobility in your business, such as: Security: How do you make a plan to secure your data against infinite possibilities? Efficiency: How much ROI can you expect, and what expenses should you budget? Implementation: How do you create a mobile solution your employees will love?
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business mobility, efficiency, productivity, data security, employee satisfaction
    
Citrix ShareFile
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
It’s 2017. 29% of the global workforce is fully mobile, allowing productivity to skyrocket. Mobility is achievable for any business, but there are significant obstacles along the way. Does your workplace know enough about security and implementation to join in? This Whitepaper will help you overcome the biggest barriers to mobility in your business, such as: Security: How do you make a plan to secure your data against infinite possibilities? Efficiency: How much ROI can you expect, and what expenses should you budget? Implementation: How do you create a mobile solution your employees will love?
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data security, business mobility, efficiency, employee satisfaction, productivity
    
Citrix ShareFile
Published By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
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amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
Published By: Citrix ShareFile     Published Date: Jun 12, 2017
Some of the biggest challenges IT teams face today stem from data loss and security risks arising from the unauthorized use of personal file sharing services by employees for business purposes. Personal file sharing services invite data leakage and compliance violations by allowing files being shared to escape beyond the visibility and control of IT. At the same time, these services meet the essential need of today’s mobile workforce to be able to access and share data wherever people work. Learn how enterprise-ready file sharing solutions exceed employee needs while securing and mobilizing business data.
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data loss, security, file sharing, mobile workforce
    
Citrix ShareFile
Published By: Amazon Web Services     Published Date: Nov 28, 2017
You know that moving to the cloud is a huge opportunity for your business do great things. Be more agile, be more responsive, do things better. But convincing everyone in your business isn’t easy, especially your security and compliance people who may well see the cloud as too big a risk. This eBook is about answering those security questions – and communicating the six core benefits a data secure cloud will bring to your organisation.
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cloud, aws, security, organizations, visibility, control, networks, platforms
    
Amazon Web Services
Published By: McAfee     Published Date: Sep 04, 2014
Sepa cómo gestionar el riesgo hoy significa comprender más los datos: análisis de vulnerabilidad, registros de aplicaciones y bases de datos, flujos, registros de acceso y sesiones, alertas y análisis de tendencias.
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arquitectura de seguridad conectada, big security data, big data, administración de registros, administración de logs, siem, seguridad
    
McAfee
Published By: McAfee     Published Date: Sep 04, 2014
Los Big Data tienen muchas respuestas, pero solo si una organización tiene la capacidad para aprovechar la creciente cantidad de información de seguridad. Al implementar una solución de SIEM para analizar estos datos, las organizaciones pueden evitar las amenazas avanzadas en tiempo real así como detectar las amenazas furtivas latentes.
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siem, big security data, seguridad del big data, información de seguridad, amenazas avanzadas, inteligencia de seguridad, seguridad
    
McAfee
Published By: McAfee     Published Date: Nov 07, 2014
Segundo o relatório “Agulha em um palheiro de dados” (Needle in a Datastack), as empresas estão vulneráveis a violações de segurança porque não são capazes de analisar ou armazenar adequadamente o Big Data. Esses volumes cada vez maiores de eventos, bem como de dados sobre ativos, ameaças, usuários e outros dados relevantes, criaram um grande desafio para as equipes de segurança em relação ao Big Data. Para solucionar esse desafio, as empresas abandonaram as arquiteturas tradicionais de gerenciamento de dados para adotar sistemas dedicados ao gerenciamento de dados de segurança na era das APTs (ameaças persistentes avançadas).
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siem, big security data, segurança do big data, informações de segurança, ameaças avançadas, ameaças persistentes avançadas, apt, inteligência de segurança, segurança, security
    
McAfee
Published By: McAfee     Published Date: Nov 07, 2014
A conformidade e os riscos financeiros costumavam ser as principais preocupações que motivavam a adoção de uma postura de gerenciamento de segurança e riscos. Leia o whitepaper e saiba como, atualmente, gerenciar os riscos permite compreender uma quantidade maior de dados: varreduras de vulnerabilidades, registros de aplicações e bancos de dados, fluxos, registros de acesso e de sessões, alertas e análise de tendências.
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arquitetura de segurança conectada, big security data, big data, gerenciamento de registros, gerenciamento de logs, siem, segurança, security
    
McAfee
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
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