Compliance does not automatically equate to security. A company may be compliant with a host of regulatory requirements, while its databases remain exposed and vulnerable. Learn how McAfee Database Security can help prevent such vulnerabilities.
McAfee Data Center Security Suite for Database delivers all the capabilities needed to secure your databases for reliable SOX compliance, with minimal impact on system performance or the productivity of your IT organization.
Protect sensitive information in emerging computing models such as virtualized environments. Learn how to leverage the same security architecture to provide more effective and more efficient data security across dedicated database servers as well.
McAfee® Vulnerability Manager for Databases automatically discovers networked databases; determines if the latest patches have been applied; and tests for common weaknesses, making it easier to demonstrate compliance and better protect critical data.
Broad adoption of SIEM technology is being driven by the need to detect threats and breaches, as well as by compliance needs. Early breach discovery requires effective user activity, data access and application activity monitoring. Vendors are improving threat intelligence and security analytics. Read this report from leading analyst firm Gartner, to learn why they have placed McAfee as a Leader in the Magic Quadrant for Security Information and Event Management.
NPMD solutions are typically not directly involved in the actual card cardholder transaction. However, given that many can potentially capture and transmit cardholder data they must be viewed as an integral part of a business’ PCI DSS compliance strategy, especially when investigating data breaches for the purposes of reporting or remediation.
Therefore, beyond satisfying your service delivery monitoring and troubleshooting requirements, be sure to verify your NPMD solution protects cardholder data and aids your efforts in PCI DSS compliance.
Published By: LogRhythm
Published Date: Sep 19, 2016
In this webinar Randy Franklin Smith, Windows Security Subject Matter Expert, and Erik Ingleby, Product Manager at LogRhythm, discuss the lessons learned from Target, Niemen Marcus, Sony and other breaches. By analyzing the available information about these recent data breaches, from the perspective of detection, the two have assembled an interesting list of security monitoring lessons and ideas. The list includes tips on how to eliminate double false positives, a number of generalized monitoring scenarios, as well as acknowledges the incredible power of monitoring for new executables running for the first time on your environment. If you are concerned about data breaches and you're involved in SIEM and other security monitoring, this is the webinar for you.
Published By: Datastax
Published Date: Apr 04, 2017
An an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet the company's business goals.
Read this comprehensive guide to learn how all the key areas of database design, creation, security, object management, backup/recovery, monitoring and tuning, data migrations, and more - are carried out in a NoSQL database.
Published By: Datastax
Published Date: Apr 04, 2017
For the new or veteran Database Administrator (DBA):
As a DBA, perhaps you’ve seen database engines such as object-oriented and OLAP databases come and go, and you’re wondering why NoSQL should be any different.
You may ask questions like:
What kinds of administration and management work does NoSQL entail?
How are security, backup and recovery, database monitoring and tuning handled?
How do I create databases, objects, and read/write data without SQL?
Learn what NoSQL is, why it’s needed, and when it’s not.
As modernized data centers scale up and out, there is a strong potential for growing complexity as well. IT teams need to be vigilant in simplifying architectures and operations as the technological landscape changes.
While the potential of monitoring and analytics in your data center is huge, to take advantage, you'll need an architecture that can handle shifting traffic patterns.
In this expert eGuide, you'll discover three ways of simplifying architectures, and how they can help you reduce complexity, improve workforce efficiency, and ease administration.
Published By: Infosys
Published Date: May 21, 2018
There are several reasons for this, including the inability of healthcare institutions to constantly monitor post-operative deterioration as well as patient's inability to visit the healthcare center for post-operation followups. Most of the patient data is recorded manually. This data is often weaned from displays of multiple monitoring devices like vitals monitor, infusion pumps, and ventilators. More often than not, these devices do not talk to each other or to a central system.
Doctors, nurses, or other care-givers manually note down patient statistics in their files and notepads. Even though the healthcare industry is in the throes of digitization, there's still a lot of paper doing the rounds. eventually, the data from these physical sheets might be fed into an electronic system, but there is a high chance of error in that process.
Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the ETL process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process.
SAS Grid Computing delivers enterprise-class capabilities that enable SAS applications to automatically leverage grid computing, run faster and takes optimal advantage of computing resources. With grid computing as an automatic capability, it is easier and more cost-effective to allocate compute-intensive applications appropriately across computing systems. SAS Grid Manager helps automate the management of SAS Computing Grids with dynamic load balancing, resource assignment and monitoring, and job priority and termination management.
Steve Moyle, CTO of Oracle Database Firewall, explains the best practices for efficient database activity monitoring, alerting and blocking that can help prevent SQL injection attacks and other threats from reaching your enterprise databases.
To effectively deal with the broad and complex requirements of Payment Card Industry (PCI) data security, you need to break the elements apart to provide enhanced clarity. This document deals with file integrity monitoring (FIM) for PCI, while providing practical technical guidance to help ensure PCI Compliance before your auditor shows up to develop the ROC.
Published By: MuleSoft
Published Date: Oct 13, 2015
Learn the recommendations to meet the following challenges:
Financial services firms are deploying private clouds and PaaS to improve IT manageability and to empower developers, but still need to manage and monitor legacy environments and third party applications
Many firms are adopting PaaS to manage microservices and break down legacy applications into discrete components, resulting in many more endpoints to make discoverable, secure, connect, manage and monitor
Applications and container technologies deployed on the PaaS may lack the ability to generate “machine data”--detailed information on memory utilization, system resources, endpoint analysis and other critical monitoring statistics
Technology trends like telecommuting, BYOD, VoIP and SaaS adoption bring new challenges to the underlying network infrastructure that connects branch offices and datacenters. This guide explains how to tackle the challenges faced by the internet-centric enterprise by intelligently monitoring your WAN, LAN, Wi-Fi and SaaS applications through a combination of Enterprise and Endpoint Agents.
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations.
Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
According to Mary Johnston Turner, Research Vice President at IDC; "Breaking down technology specific management as well as data silos also facilitates faster infrastructure and application rollouts, reduces human errors, and improves overall business agility.Cloud based management, monitoring and analytics help to improve collaboration between IT operations and developer teams by stabilizing service levels and monitoring usage to support accurate charge back."
Today financial services institutions must meet the standards for data quality attestation by the FFEIC regulators of risk reporting. This paper discusses the platform and domain expertise needed to support the rigorous demands of commercial and retail risk reporting.
Increased processing needs means increased energy costs. In fact, power costs can often exceed hardware costs. Read this white paper and see how the pairing of new IBM System x and BladeCenter servers with the new Intel Xeon Processor 5500 series can reduce costs and improve performance.