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Published By: Oracle     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
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Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
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Oracle CX
Published By: Websense     Published Date: Apr 16, 2010
Web 2.0 technology has transformed the Web into a core business communication platform. Unfortunately, it's also become much easier to accidentally or intentionally disclose sensitive data. This white paper outlines the business need for Web data loss prevention (DLP), makes the case for DLP as an embedded capability within secure Web gateways, and defines what customers should look for in a solution.
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websense, dlp, data loss prevention, securosis, security, data management, testing, secure gateways
    
Websense
Published By: Mimecast     Published Date: Apr 13, 2018
On the 13th February 2017, the Privacy Amendment (Notifiable Data Breaches) Act was passed in the Australian Parliament, introducing a mandatory notification regime. This bill commences on the 23rd February 2018 and will require organisations to notify data subjects and regulators in the event of an “eligible” data breach. Mimecast’s proven portfolio of cloud-based, security and cyber resilience services for email can be a vital component of any organisation’s Notifiable Data Breaches compliance strategy
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Mimecast
Published By: IBM     Published Date: Nov 19, 2014
Risk Management: OpenPages GRC: Operational risk management in the world of big data - Unlocking the value of loss event data and driving the risk-aware enterprise
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ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions
    
IBM
Published By: Oracle     Published Date: Jun 20, 2016
This report examines how two major players in the grocery, pharmacy and wholesale markets are leveraging loss prevention technology to centralize enterprise-wide data collection, analysis, and reporting to protect profits, reduce shrink and provide actionable insight across the organization from merchandising and planning to supply chain.
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analytics, loss prevention, enterprise applications, best practices
    
Oracle
Published By: Trend Micro, Inc.     Published Date: Apr 29, 2009
Data breaches can carry very serious consequences, such as the revelation in February 2008 that that the Hannaford Brothers chain of supermarkets lost more than four million debit and credit card numbers to hackers. The bottom line is that organizations must implement Data Loss Prevention (DLP) systems to protect themselves against the growing array of threats they face from inadvertent and malicious data leaks from email, instant messaging and other systems.
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trend micro, data breach, dlp, credit cards, breaches, data breaches, data loss prevention, dlp
    
Trend Micro, Inc.
Published By: IBM     Published Date: Nov 19, 2014
Risk Management: General: Partially cloudy: the benefits of hybrid deployment models
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ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions
    
IBM
Published By: Dell Storage     Published Date: Aug 14, 2012
Engagement with customers online has evolved from novelty to necessity, with an estimated $202 billion spent in 2011 and projected 10% growth to $327 billion in 2016, according to Forrester Research. Businesses are maneuvering to connect with the growing pool of online customers, but the move to eCommerce brings new security risks with the exchange of sensitive consumer information, including cardholder data and personally identifiable information that can enable identity theft. At stake is reputation of brand, ongoing access to merchant credit lines, and substantial penalties and remediation in the event of a breach. This white paper elucidates the aspects of PCI DSS (Payment Card Industry Data Security Standards) compliance that must be considered when choosing a secure environment for servers involved in eCommerce. Whether deciding to outsource or keep data hosting in-house, any company collecting, storing or transmitting customer cardholder data needs to be compliant, and this document helps pinpoint the specific concerns and standards a company should be aware of when choosing how to keep their data secure. Understanding requirements and best practices for security policies and procedures, physical safeguards, and security technologies is essential to establishing cardholder data security and meeting QSA and SAQ audit requirements.
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pci, compliant, data, centers, engagement, connect, ecommerce, compliance
    
Dell Storage
Published By: IBM APAC     Published Date: Mar 06, 2019
A cyber resilient enterprise is one that can prevent, detect, contain and recover from a myriad of serious threats against data, applications and IT infrastructure. The Ponemon Institute and IBM surveyed more than 2,848 IT and IT security professionals from around the world and released the findings of the third annual study on the importance of cyber resilience for a strong security posture.
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IBM APAC
Published By: Splunk     Published Date: Nov 29, 2018
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences. Download the e-book to learn how: Micron Technology reduced number of IT incidents by more than 50% Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
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akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing
    
Akamai
Published By: HP     Published Date: Mar 31, 2015
No business is immune to the threat of IT downtime caused by natural and manmade disasters. Natural disasters—such as earthquakes, tsunamis, hurricanes, fires, and floods—can happen with little to no advanced warning. But the bigger risk is often human-induced events—from simple IT configuration errors to significant data center problems. If you lack a rock-solid disaster recovery (DR) plan, any of these unpredictable events—natural or manmade—could bring your business and its revenue streams to a halt. Yet many organizations are not well prepared for the unknown. The randomness of such events lulls people into a sense of false security—“That’s not likely to happen here.” While you can hope to avoid events that threaten the continuity of your business, the reality remains unchanged: Disasters happen—so you need to prepare for them. Are you prepared? Please download this eBook to find out!
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disaster recovery, natural disasters, data center, hackers, hardware failure, software failure, planning, disaster readiness
    
HP
Published By: Avalere     Published Date: Apr 02, 2007
Companies struggle with cleanly separating an employee, contractor or consultant with their company and critical information.  Avalere enables companies to review how information has been used prior to an employee’s departure in order to protect the company and the employee.
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data protection, employee performance, fired, employee departure, employee quit, employee resigned, access control, avalere
    
Avalere
Published By: LogRhythm     Published Date: Apr 04, 2017
Globally, sophisticated cyber-attacks are compromising organizations at an unprecedented rate and with devastating consequences. Modern attackers, including criminal organizations, ideological groups, nation states and other advanced threat actors are motivated by a wide range of objectives that include financial gain, industrial espionage, cyber-warfare, and terrorism. These attacks are often very expensive for compromised organizations, costing each company an average of USD $7.7M.
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LogRhythm
Published By: LogRhythm     Published Date: Jun 19, 2018
Globally, sophisticated cyber-attacks are compromising organizations at an unprecedented rate and with devastating consequences. Modern attackers, including criminal organizations, ideological groups, nation states and other advanced threat actors are motivated by a wide range of objectives that include financial gain, industrial espionage, cyber-warfare, and terrorism. These attacks are often very expensive for compromised organizations, costing each company an average of USD $7.7M.1 1 Ponemon 2015 Cost of Cyber Crime Study 2 CyberEdge 2016 Cyberthreat Defense Report 3 Symantec, Underground black market: Thriving trade in stolen data, malware, and attack service. November 20, 2015; Medscape, Stolen EHR Charts Sell for $50 Each on Black Market, April 28, 2014 4 Deloitte, Beneath the Surface of a Cyberattack, 2016 The Modern Cyber Threat Pandemic 3 The odds that your organization will be compromised are high. In fact, a recent report indicates that 76 percent of surveyed organizatio
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data, breaches, organizations, global
    
LogRhythm
Published By: RSA     Published Date: Aug 28, 2014
Discover how a real-life data access scenario is solved. Learn how to gain a clear picture of who has access to your data and avoid the risk of a data breach.
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data breach, data access, governance, risk, prevention
    
RSA
Published By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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cloud, mobility, social business, big data, external threats, business risks, business continuity, financial stability
    
IBM
Published By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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ibm, cloud, mobility, social business, data, big dta, theft, cyber theft
    
IBM
Published By: Schneider Electric     Published Date: May 09, 2016
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices. This white paper describes the types of PM services that can help safeguard the uptime of data centers and IT equipment rooms. Various PM methodologies and approaches are discussed. Recommended practices are suggested.
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schneider electric, edge computing, data center, energy efficiency, data center energy, preventive maintenance, tool for controlling, tco
    
Schneider Electric
Published By: APC by Schneider Electric     Published Date: Feb 09, 2011
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
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absolute, data protection, maitenance, ups, physical infrastructure, infrastructure, data loss protection, dlp
    
APC by Schneider Electric
Published By: Forcepoint     Published Date: Apr 20, 2016
En 2014, les fuites de données ont compromis plus de 700 millions de dossiers, engendrant des pertes financières estimées à au moins 400 millions $, et la fréquence des incidents liés à la sécurité est passée à 66 pour cent. Mais ne laissez pas la crainte étouffer votre croissance. Le rapport sur la prévention contre le vol de données se penche principalement sur la manière de vous protéger lorsque vous innovez, mais selon une perspective plus large en termes de portée et plus intelligente dans l’application.
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security, data theft prevention, data security, security application
    
Forcepoint
Published By: Carbonite     Published Date: Oct 10, 2018
IT admins tasked with restoring servers or lost data during a disruption are consumed with a single-minded purpose: successful recovery. But it shouldn’t take an adverse event to underscore the importance of recovery as part of an overall backup strategy. This is especially true with large datasets. Before you consider how you’re going to back up large datasets, first consider how you may need to recover the data.
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Carbonite
Published By: Carbonite     Published Date: Apr 09, 2018
IT admins tasked with restoring servers or lost data during a disruption are consumed with a single-minded purpose: successful recovery. But it shouldn’t take an adverse event to underscore the importance of recovery as part of an overall backup strategy. This is especially true with large datasets. Before you consider how you’re going to back up large datasets, first consider how you may need to recover the data. Variables abound. Is it critical or non-critical data? A simple file deletion or a system-wide outage? A physical server running onsite or a virtual one hosted offsite? These and a handful of other criteria will determine your backup and disaster recovery (BDR) deployment. What do we mean by large? A simple question with a not-so-simple answer. If your total data footprint is 5 TB or more, that’s considered large. But what kind of data is it? How many actual files are there? How frequently do they change? How much can they be compressed? It’s likely that two different 5 TB en
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Carbonite
Published By: CrowdStrike     Published Date: Aug 01, 2017
The frequency of “mega breaches” continues to rise at an alarming rate. In fact, crippling incidents involving tens of millions of customer records, theft of highly valuable intellectual property, and related criminal activity have become commonplace. This report asserts that many such breaches could be prevented by deploying next-generation endpoint protection technology in concert with an aggressive proactive hunting strategy. This potent combination provides the most effective means to reduce attack surfaces and defend against advanced adversaries.Download the white paper to:?Learn how a proactive hunting strategy protects valuable data assets from a potential mega breach?Get a detailed analysis of how highly skilled human hunters pair with technology to aggressively seek out threat behaviors?Understand why integrating CrowdStrike Falcon Overwatch into an organization’s existing security resources offers the most comprehensive protection against persistent and skilled adversaries?Fi
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CrowdStrike
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