big security data

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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
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
By: Oracle     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
By: Intel Security     Published Date: Feb 23, 2015
This report reveals the key steps organizations can take to harden their infrastructure, improve their responsiveness, and actively disrupt targeted attacks by paying attention IoAs.
Tags : security information, security connected framework, big security data, big data, log management, cyber-attacks, hackers, reference archecture, siem, security event management
     Intel Security
By: Intel Security     Published Date: Feb 23, 2015
This White Paper illustrates a magic quadrant analysis including vendors that have technologies designed for SIEM purposes.
Tags : gartner, magic quadrant, security connected framework, big security data, big data, log management, siem, security information, event management
     Intel Security
By: Intel Security     Published Date: Feb 23, 2015
This paper reveals how managing risk today means making sense of more data: vulnerability scans, application and database logs, flows, access and session records, alerts, and trending analysis.
Tags : security connected framework, big security data, big data, log management, siem, security event management, risk, cyber-hacking, cyber-attacks
     Intel Security
By: Intel Security     Published Date: Feb 23, 2015
This paper reveals how cloud and compliance could be in one thanks to McAfee Enterprise Security Manager.
Tags : security information, security connected framework, big security data, big data, log management, siem, security event management
     Intel Security
By: HP - Enterprise     Published Date: Feb 06, 2013
We are children of the information generation. No longer tied to large mainframe computers, we now access information via applications, mobile devices, and laptops to make decisions based on real-time data.
Tags : big security, big data, secure data, business technology
     HP - Enterprise
By: McAfee     Published Date: Feb 06, 2013
This paper addresses the Big Security Data challenge and highlights the key criteria organizations need to consider for processing security information in light of today’s dynamic threat landscape.
Tags : big data, big security data, mcafee siem, intrusion detection systems, security monitoring, research
     McAfee
By: McAfee     Published Date: Feb 06, 2013
Read how managing risk today means making sense of more data: vulnerability scans, application and database logs, flows, access and session records, alerts, and trending analysis.
Tags : security connected framework, big security data, big data, log management, siem
     McAfee
By: McAfee     Published Date: Feb 06, 2013
Gartner defines "big data analytics" as the practices and technology used to pursue emerging and divergent pattern detection as well as enhance the use of previously disconnected information assets.
Tags : big data analytics, gartner, big data, big security data, advanced targeted attacks, advanced persistent threats, atas, context aware security intelligence, threat intelligence, siem
     McAfee
By: McAfee     Published Date: Feb 06, 2013
Read about the top five issues McAfee customers face with security information and event management (SIEM) and see corresponding use cases and customer case studies.
Tags : big security data, siem, mcafee global threat intelligence, mcafee gti, mcafee risk advisor, security connected
     McAfee
By: McAfee     Published Date: Jul 24, 2013
Big data holds many answers, but only if an organization has the capability to harness the ever growing amounts of security information. In deploying a SIEM solution to analyze this data, organizations can repel advanced threats in real-time as well as spot the stealthy, dormant threat.
Tags : siem, big security data, security information, advanced threats, security intelligence, security, data management, business technology
     McAfee
By: McAfee     Published Date: Apr 16, 2014
Read how managing risk today means making sense of more data: vulnerability scans, application and database logs, flows, access and session records, alerts, and trending analysis.
Tags : security connected framework, big security data, big data, log management, siem, security
     McAfee
By: McAfee     Published Date: Apr 16, 2014
Big data holds many answers, but only if an organization has the capability to harness the ever growing amounts of security information. In deploying a SIEM solution to analyze this data, organizations can repel advanced threats in real-time as well as spot the stealthy, dormant threat.
Tags : siem, big security data, security information, advanced threats, security intelligence, security
     McAfee
By: McAfee     Published Date: Oct 28, 2014
For SIEM to help usher in more effective security and risk management strategies—particularly related to threat mitigation, embracing trends, and aligning with business priorities—these five business issues must be addressed. McAfee spoke with SIEM users and this brief lists those top issues along with corresponding customer case studies and use cases.
Tags : big security data, situational awareness, real-time context, management ease, integrated security, siem, mcafee, risk management strategies, siem use cases, customer stories, federal government, healthcare provider, retailer, utility company, financial services, security
     McAfee
By: McAfee     Published Date: Oct 28, 2014
Compliance and financial risk used to be the driving concerns for security and risk management. Read how managing risk today means making sense of more data: vulnerability scans, application and database logs, flows, access and session records, alerts, and trending analysis.
Tags : security connected framework, big security data, big data, log management, siem, security
     McAfee
By: Turn     Published Date: Jan 07, 2014
In this study from Forbes Insights and Turn, learn what privacy means to marketers and consumers.
Tags : big data, privacy, security, data-driven marketing, b2c consumer privacy
     Turn
By: QTS Data Centers     Published Date: Mar 31, 2015
One of IT’s biggest balancing acts is to make data transactions easily available to authorized users while preventing all others from accessing its data assets. With high-profile data security breaches splashed across headlines nearly every day, CIOs are understandably worried about protecting their data. And for IT leaders who are considering moving their business to the cloud it is critical to ensure the provider they select has undertaken full and robust measures for physical and logical security.
Tags : qts, cloud, security, data transactions, cio report, cyber threats, security breaches, it leaders, it management
     QTS Data Centers
By: Veeam '18     Published Date: Dec 04, 2018
"Ransomware is top of mind for many organizations’ leaders as their organizations face the potentially disastrous aftermath of successful attacks. ESG has surveyed IT leaders and organizations to find out how big of a problem ransomware is, what are the business consequences of downtime caused by these attacks, and which are some of the best practices and capabilities organizations need to apply to be protected. According to the ESG research, nearly two-thirds of surveyed organizations across North America and Western Europe experienced a ransomware attack at some point last year, with 22% reporting weekly attacks. The attacks have helped make cybersecurity a target of IT investment, and spending is accelerating. What’s needed to fend off this epidemic are best practices and tools to: Prevent or at least mitigate attacks Protect data and backup data Recover reliably"
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     Veeam '18
By: Infosys     Published Date: Jun 12, 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.
Tags : internal, applications, data, hacks, privacy, enterprises
     Infosys
By: Microsoft     Published Date: Jul 20, 2018
At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform providers are rethinking databases for scalable, elastic environments and commodity infrastructure. The platform that is most comparable is Google Cloud Spanner, but each of these databases is engineered for different purposes: Cosmos DB as a globally distributed operational database and Spanner as a globally distributed SQL-supporting OLTP database. The highlights of Cosmos DB include its flexibility in
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     Microsoft
By: Microsoft     Published Date: Jul 20, 2018
If you’re like most developers, you spend about two-thirds of your time building and the rest of your time learning. Sometimes your research is proactive, based on personal interest or a desire to maintain your skills, but more likely it’s out of necessity—learning what you need to tackle your next big project. Not long ago, new projects assumed an on-premises or hosted approach, forcing you to spend considerable time on essential requirements like scalability, availability, and security. Today, you still must deliver on those essentials, but the apps you’re building need to do a lot more: support millions of users, span the globe, make sense of petabytes of data, and delight users in new ways. Cloud services not only deliver “built-in” scalability and availability, but also provide an unprecedented range of prebuilt functionality for driving innovation into your apps—ready to evaluate for your next project, without your having to worry about physical infrastructure and the related ove
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     Microsoft
By: Microsoft Azure     Published Date: Apr 11, 2018
When you extend the global reach of your enterprise, you’ll find new markets for your products and services. That means reaching more potential customers, bigger growth potential, and higher ROI. But to tap into those emerging markets, you need to provide the best, most consistent user experience. Now, it’s possible for you to build, deploy, and manage modern apps at scale with a globally-distributed database—without the hassles associated with hosting in your data center. Read the e-book Build Modern Apps with Big Data at a Global Scale and learn how Azure Cosmos DB, a globally-distributed turnkey database service, is transforming the world of modern data management. Keep access to your data available, consistent, and safe—with industry-leading, enterprise-grade security and compliance. Start developing the best app experience for your users based on five well-defined consistency models: Strong: Favors data consistency. Ideal for banks, e-commerce processing, and online booking. Boun
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     Microsoft Azure
By: CrowdStrike     Published Date: May 10, 2018
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the proverbial “needle in the haystack” – the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. In this context, detecting attacks is often difficult, and sometimes impossible. This white paper describes how CrowdStrike solved this challenge by building its own graph data model – the CrowdStrike Threat Graph? – to collect and analyze extremely large volumes of security-related data, and ultimately, to stop breaches. This revolutionary approach applies massive graph-based technologies, similar to the ones developed by Facebook and Google, to detect k
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     CrowdStrike
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