There's an old saying in information security: "We want our network to be like an M&M, with a hard crunchy outside and a soft chewy center." For today's digital business, this perimeter-based security model is ineffective against malicious insiders and targeted attacks. Security and risk (S&R) pros must eliminate the soft chewy center and make security ubiquitous throughout the digital business ecosystem — not just at the perimeter. In 2009, we developed a new information security model, called the Zero Trust Model, which has gained widespread acceptance and adoption.
This report explains the vision and key concepts of the model. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.
If you function like most IT organizations, you've spent the past few years relying on mobile device management (MDM), enterprise mobility management (EMM) and client management tools to get the most out of your enterprise endpoints while limiting the onset of threats you may encounter.
In peeling back the onion, you'll find little difference between these conventional tools and strategies in comparison to those that Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs) have employed since the dawn of the modern computing era. Their use has simply become more:
Time consuming, with IT trudging through mountains of endpoint data;
Inefficient, with limited resources and limitless issues to sort through for opportunities and threats; and
Costly, with point solution investments required to address gaps in OS support across available tools.
Download this whitepaper to learn how to take advantage of the insights afforded by big data and analytics thereby usher i
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it.
The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources.
This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
Today's enterprises support an assortment of end-user devices, including laptops and desktops (both PCs and Macs), tablets and hybrid devices, and, of course, smartphones. Not only do employees use a variety of form factors, but they run a variety of platforms on those devices, including:
Apple iOS and Apple macOS
To complicate the situation further, they run different versions of those platforms for example, Microsoft Windows XP SP3, Microsoft Windows 10 or anything in between. In addition, IT is being tasked more and more with managing and securing wearables, ruggedized devices and the Internet of Things (IoT).
Read this whitepaper to learn more.
MaaS360 delivers robust UEM capabilities across all major
computing platforms, including iOS, macOS, Android and
Windows devices. And where competing solutions offer incomplete
support for legacy Microsoft platforms, MaaS360 supports
Windows XP SP3, Microsoft Windows Vista, Microsoft
Windows 7, Microsoft Windows 8, Windows 10 and Microsoft
Windows 10 Mobile. These capabilities include:
Identity and access management (IAM) that allows a shift from a device-based context to a more comprehensive, userbased context
Application management, including an intuitive, universal application catalog for iOS, macOS, Android and Windows, advanced bundling and promotion features, bulk application purchase and distribution capabilities, and fine-grained data controls
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Endpoints continue to advance…
Employees come and go...
And the security landscape is in constant flux.
IT leadership must rise to the challenge of managing a disparate and growing number of endpoints, operating systems, and platforms.
The only efficient method of managing and securing all endpoints, their users, apps, content, and data is to implement and deploy a unified endpoint management (UEM) solution that changes and adapts with new technology, more skilled users, and increasingly sophisticated attacks by hackers.
Read onward to learn why UEM is necessary, how it addresses complex problems encountered in the modern enterprise, and best practices for a successful deployment.
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly.
IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
There are many types of databases and data analysis tools to choose from when building your application. Should you
use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right ft?
What about polyglot persistence and the need for advanced analytics?
If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions
available to meet your app’s unique needs.
You’ll see how data can move across databases and development languages, so you can work in your favorite
environment without the friction and productivity loss of the past.
NoSQL databases and Apache Spark are a potent combination for rapid
integration, transformation and analysis of all kinds of business data.
With its data syncing and analytics capabilities, IBM Cloudant offers unique
advantages as a NoSQL database for many Spark use cases.
IT decision-makers, data scientists and developers need to know how and when to
apply these technologies most effectively.
IBM can offer a host of resources and tools to help your organization gain value
from Cloudant and Spark quickly, and with minimal up-front investment.
Today, it’s unlikely that a single database will meet all your needs. For a
variety of reasons—including the need to support cloud-scale solutions
and increasingly dynamic app ecosystems—startups and enterprises
alike are embracing a wide variety of open source databases.
These varied databases—including MongoDB, Redis and PostgreSQL—
open doors to building sophisticated and scalable applications on
battle-hardened, non-proprietary databases.
A dversaries, and cybercriminal organizations in particular, are building tools and using techniques that are becoming so difficult to detect that organizations are having a hard time knowing that intrusions are taking place. Passive techniques of watching for signs of intrusion are less and less effective. Environments are complicated, and no technology can find 100 percent of malicious activity, so humans have to “go on the hunt.”
Threat hunting is the proactive technique that’s focused on the pursuit of attacks and the evidence that attackers leave behind when they’re conducting reconnaissance, attacking with malware, or exfiltrating sensitive data. Instead of just hoping that technology flags and alerts you to the suspected activity, you apply human analytical capacity and understanding about environment context to more quickly determine when unauthorized activity occurs. This process allows attacks to be discovered earlier with the goal of stopping them before intruders are able t
IBM Security and Ponemon Institute are pleased to release the 2017 Cost of Data Breach Study: Global Overview. According to our research, the average total cost of data breach for the 419 companies participating in this research decreased from $4.00 to $3.62 million The average cost for each lost or stolen record containing sensitive and confidential information also significantly decreased from $158 in 2016 to $141 in this year’s study. However, despite the decline in the overall cost, companies in this year’s study are having larger breaches. The average size of the data breaches in this research increased 1.8 percent
A recent survey by IBM and the Ponemon Institute of more than 2,400 security professionals worldwide turned up some astounding findings: While more than half—53 percent—of respondents said that in the past two years they had suffered at least one data breach, and nearly three quarters—74 percent—said that in the past one year they had faced threats from human error, only 25 percent have an incident management plan in place to address the inevitable. And two thirds—66 percent—lack confidence that their company can effectively
recover from an attack.
Ponemon Institute is pleased to present the results of Uncovering the Risks of SAP Cyber Breaches sponsored by Onapsis. The purpose of this study is to understand the threat of an SAP cyber breach and how companies are managing the risk of information theft, modification of data and disruption of business processes. The companies represented in this study say their SAP platform has been breached an average of two times in the past 24 months.
Security incidents have been on the rise for the past few years, and most experts in cybersecurity believe the trend will only continue to intensify. Here, though, our subject is not the high-profile, headline-grabbing attacks we all know about but the everyday struggle of organizations everywhere, in every industry, to protect their data in a world of thieves.
It is generally accepted that a hybrid approach to IT operations gives enterprises both financial and operational flexibility— allowing them to apply new technologies with little or no capital investment and tap expertise without hiring new personnel. But it is still an imperfect solution, and with sophisticated new attacks propagating at an accelerated rate, security has become a top concern. This is evidenced by the growing number of C-level security executives and by the intensive efforts of IT organizations to identify and address the gaps in their enterprise defenses and improve their ability to respond to those attacks. It is clear that security for hybrid IT environments is due for an advanced upgrade.
IBM Security and Ponemon Institute are pleased to present the 2017 Cost of Data Breach Study: United States, our 12th annual benchmark study on the cost of data breach incidents for companies located in the United States. The average cost for each lost or stolen record containing sensitive and confidential information increased from $221 to $225. The average total cost experienced by organizations over the past year increased from $7.01 million to $7.35 million. To date, 572 U.S. organizations have participated in the benchmarking process since the inception of this research.
Security threats are very real, and the stakes are higher than ever. Each day, tens of thousands of malware variants are created, with new classes of threats continually added and improved upon. Savvy attackers use polymorphic programs to alter malware into new form factors after each delivery. And all of this is exacerbated by the proliferation of mobile devices, cloud computing and social media—in fact, the intersection of these technologies provides fertile new ground for threats and malware.
Every day, torrents of data inundate IT organizations and overwhelm
the business managers who must sift through it all to
glean insights that help them grow revenues and optimize
profits. Yet, after investing hundreds of millions of dollars into
new enterprise resource planning (ERP), customer relationship
management (CRM), master data management systems (MDM),
business intelligence (BI) data warehousing systems or big data
environments, many companies are still plagued with disconnected,
“dysfunctional” data—a massive, expensive sprawl of
disparate silos and unconnected, redundant systems that fail to
deliver the desired single view of the business.
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are:
• Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime.
• Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets.
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Many new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data.
To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
Integrated Threat Management For Dummies, IBM Security Limited Edition, lays the foundation for effective tools and techniques that work together to help counter today’s advanced threats. Regardless of your role in the IT security organization, threat management tools and techniques will influence your job. Your role determines the part you play to effectively manage threats, including those targeting the cloud and your company’s data.
If you are a Chief Information Security Officer (CISO) or security manager, this book explains in detail the types of tools you need to effectively prevent, detect, and respond to security incidents. If you’re in general business management, you’ll better understand the risks associated with enterprise computing and the reasons why a comprehensive portfolio of security tools that work well together is so important.
IBM Security offers one of the most advanced and integrated portfolios of enterprise security products and services. The portfolio, supported by world-renowned X-Force research, provides security intelligence to help organizations holistically protect their infrastructures, data and applications, offering solutions for identity and access management, database security, application development, risk management, endpoint management, network security and more. These solutions enable organizations to effectively manage risk and implement integrated security for mobile, cloud, social media and other enterprise business architectures. IBM operates one of the world’s broadest security research, development and delivery organizations, monitors 15 billion security events per day in more than 130 countries, and holds more than 3,000 security patents.
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.
When you’re presented with IT security metrics, your
question is: What does this mean for my business? And
ultimately, what data should I be most concerned with? The
point is, not all data deserves equal protection. A more effective
approach is to understand:
• Which data is most critical (also known as “crown jewels”)?
• Where does that data reside?
• How is it exposed to security risks?
• What potential impact would a security breach to this data
have on your organization?
• What are the appropriate steps to take based on the