Learn how to optimize network monitoring in high-frequency trading (HFT)
When a millisecond can cost a $1 million-plus, there's no tolerance for packet loss or latency. Download this white paper to learn how:
The bursty data traffic of HFT can overwhelm networks & their legacy monitoring systems.
The 2016 ACFE Report to the Nations on Occupational Fraud and Abuse analyzed 2,410 occupational fraud cases that caused a total loss of more than $6.3 billion.8 Victim organizations that lacked anti-fraud controls suffered double the amount of median losses.
SAS’ unique, hybrid approach to insider threat deterrence – which combines traditional detection methods and investigative methodologies with behavioral analysis – enables complete, continuous monitoring. As a result, government agencies and companies can take pre-emptive action before damaging incidents occur. Equally important, SAS solutions are powerful yet simple to use, reducing the need to hire a cadre of high-end data modelers and analytics specialists. Automation of data integration and analytics processing makes it easy to deploy into daily operations.
Published By: DoubleTake
Published Date: Jul 14, 2010
SMBs in regulated industries are also subject to the same data availability and data
protection requirements as large corporations for regulations such as HIPAA, FDA Part 11, Sarbanes-Oxley and SEC Rule 17, but without the budgets necessary to meet these requirements. This whitepaper provides six tips for an SMB approach to protecting data, such as confidential employee information, so download now to learn how keep your SMB protected from this critical loss of data.
In an outage, IT is expected to restore that data in minutes. However, the average time is closer to eighteen and a half hours at a cost of approximately $5,600 per minute. Find out how to protect your organization from disastrous data loss:Dell Data Protection POV Whitepaper.
Today, your company's digital presence is your reputation and your brand. But websites and other IT assets are vulnerable to security breaches, downtime and data loss—all of which can negatively affect your reputation and competitive position. Read this paper, commissioned by IBM with leading analyst Forrester to learn how IT security decision makers across the globe are doing more with less by outsourcing key security tasks.
Published By: Symantec
Published Date: Jul 11, 2017
This white paper explores the challenges associated with protecting data in today’s enterprise and starts to detail how a modern data loss prevention (DLP) solution, delivered as part of a cloud-based web security gateway, can provide continuous monitoring and protection of sensitive data on mobile devices, on-premises and in the cloud.
Read this white paper to learn about how to get smart about insider threat prevention, including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third party collaboration.
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.
Published By: Utimaco
Published Date: Aug 18, 2008
If company laptops, PDAs, or other mobile devices can't be found, it doesn't always mean that they've been stolen. Companies often lose track of these IT assets because there's no clear record of them. Encryption and inventory management can help to safeguard against the loss of confidential data.
Downtime and data loss pose intolerable risks to every business today. From IT departments to the Board Room, managers have seen the importance of business uptime and data protection to continued success, productivity and profitability.
Journaling? RAID? Vaulting? Mirroring? High availability? Know your data protection and recovery options! Download this information-packed 29-page report that reviews the spectrum of IBM i (i5/OS) and AIX resilience and recovery technologies and best practices choices, including the latest, next-generation solutions.
For IT departments looking to bring their AIX environments up to the next step in data protection, IBM’s PowerHA (HACMP) connects multiple servers to shared storage via clustering. This offers automatic recovery of applications and system resources if a failure occurs with the primary server.
A powerful signal integrity analysis tool must be flexibility, easy to use and integrated into an existing EDA framework and design flow. In addition, it is important for the tool to be accurate enough. This report reviews a validation study for the Mentor Graphics HyperLynx 8.0 PI tool to establish confidence in using it for power integrity analysis.
For advanced signaling over high-loss channels, designs today are using equalization and several new measurement methods to evaluate the performance of the link. Both simulation and measurement tools support equalization and the new measurement methods, but correlation of results throughout the design flow is unclear. In this paper a high performance equalizing serial data link is measured and the performance is compared to that predicted by simulation. Then, the differences between simulation and measurements are discussed as well as methods to correlate the two.
Published By: Unitrends
Published Date: Jun 15, 2010
In this document we're first going to explore the use of the insurance metaphor in terms of its most fundamental element: the broad consequences of data loss. We'll also discuss industry and regulatory consequences of data loss.
Published By: Unitrends
Published Date: Apr 12, 2010
The purpose of deduplication is to provide more storage, particularly backup storage, for less money, right? Then wouldn't it be ridiculous if deduplication vendors were demanding that their customers pay more per terabyte of storage? Or if they were simply pushing the task of integrating, monitoring, and managing deduplication back onto their users?
Published By: Unitrends
Published Date: May 18, 2010
This tongue in cheek white paper explores data loss from a contrarian point of view - exploring the top 7 shortcuts you can take to ensure that you lose your data. And since a fundamental responsibility of any information technology professional, as well as any C-level executive, is to ensure that the data upon which any company is created is protected - scrupulously following these shortcuts should also ensure that you lose not only your data but your job as well.
Published By: SilverSky
Published Date: Mar 26, 2014
The average employee sends and receives about 110 emails each day or 29,000 emails per year. One in every 20 of those emails contains “risky” data – from sensitive attachments to social security numbers to protected health information to valuable corporate secrets that set your organization apart. All of this risky data can become toxic to your company if it’s hacked or suffers a breach – causing reputational damage, customer loss, heavy fines and decreased competitive edge. SilverSky’s Email DLP is powered by IBM technology.
Download SilverSky’s Email DLP white paper to review the 5 strategies your organization should be doing to protect your email.
Published By: SilverSky
Published Date: May 22, 2014
Are you looking to enhance security and regulatory compliance around email, without having to add staff? SilverSky offers a game-changing Email Data Loss Prevention (DLP) solution, run on IBM SoftLayer, which can help. Read this paper to learn more and for helpful tips on preventing data loss.
The necessity of building a disaster recovery model to ensure that services can be delivered nonstop with minimal data loss is not easy or inexpensive. Read this research report to learn how the cloud offers companies an alternative, allowing for rapid recovery and minimal data loss, and without the high costs.
Simply put, software defined storage is the abstraction of storage services from storage hardware. This term is more than just marketing hype, it’s the logical evolution of storage virtualization from simply being a storage aggregator to the end goal of storage as a service. To achieve this goal, software defined storage needs a platform from which to centralize.
Comparisons to the invention of the printing press and Gutenberg’s Bible might be slightly exaggerated—but only slightly. The era of the Internet of Everything (IoE) is upon us and IoE will inevitably change the way companies operate. But too much of the discussion about IoE glosses over the skills and capabilities required of data engineering.
Data breaches are more than a security problem. A significant attack can shake your customer base, partner relations, executive staff, profits, and revenue. Historic data breaches have cost executives their jobs, resulted in major revenue losses and damaged brand reputations. In a 2014 study of 700 consumers about brand reputation by Experian and the Ponemon Institute, data breaches were reported as the most damaging occurrence to brand reputation, exceeding environmental disasters and poor customer service.1 In a world where data breaches have become commonplace, what steps can be taken to minimize damage?
Keeping data secure in a mobile environment is not just a daunting challenge, but a critical requirement. Loss and theft of computers leaves sensitive data vulnerable, creating serious financial and legal risks.