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Published By: MobileIron     Published Date: May 07, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
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mobile, threat, detection, machine, ransomware, confidential, networks
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
MobileIron knows that cybercriminals are continuously generating more advanced ways to steal your data by any means necessary. That’s why we are committed to continually innovating and delivering new solutions that help our customers win the race against time to get ahead of the latest mobile security threats. As part of that commitment, MobileIron Threat Defense supports the five critical steps to deploying advanced, on-device mobile security. Our solution provides a single, integrated app that delivers several key advantages: • A single app of threat protection is fully integrated with EMM. • No user action is required to activate or update on-device security. • Advanced mobile security blocks known and zero-day threats across iOS and Android devices with no Internet connectivity required. • Machine-learning algorithms instantly detect and remediate on-device DNA threats.
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mobile, threat, defense, strategy, mobileiron, innovation
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
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mobile, threat, detection, machine, learning
    
MobileIron
Published By: SAP     Published Date: Jul 18, 2016
People on the frontlines of public-sector fraud management have considerable need to detect, monitor and prevent fraud in real time. They recognize that speed in analysis, detection, investigations and simulations is the key to minimizing taxpayer dollars lost to fraud. Read the report to learn more.
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SAP
Published By: IBM     Published Date: Apr 26, 2016
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures. Please view this webcast and learn: - The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes - The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
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ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing
    
IBM
Published By: IBM     Published Date: Oct 06, 2016
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months and can cost an organization an average of 11 million USD.
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cyber security, security analysis, integrated data systems, cyber intelligence, malware investigation
    
IBM
Published By: IBM     Published Date: Jan 26, 2017
The IBM Counter-Fraud Management for Insurance solution is designed to help insurers prevent and intercept attempted fraud while detecting, identifying, and building the case against past fraudulent activity and improper payments.
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ibm, analytics, insurance, counter-fraud management, fraud
    
IBM
Published By: Cox Business     Published Date: May 31, 2017
For cybersecurity professionals, 2016 presented a year of distributed denial of service (DDoS) attacks that were unprecedented. Week after week, the public was inundated with news of hacks, attacks, and data leaks. It didn’t take long for everybody to realize the old axiom of cybersecurity still holds true - there are two types of companies: those who are hacked and know about it, and those who are hacked and soon will find out. As a key player in the war against DDoS attacks, Neustar has been on the front line, detecting, alerting, and mitigating strikes to keep companies and their customers safe.
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Cox Business
Published By: CrowdStrike     Published Date: Aug 01, 2017
You won’t want to miss this report, “A New Era in Endpoint Protection: A SANS Product Review of CrowdStrike Falcon Endpoint Protection,” where SANS reveals the results of their evaluation of the CrowdStrike Falcon® platform. To conduct their evaluation, SANS security analysts ran Falcon through a wide range of increasingly complex attack scenarios. The exploits they used to evaluate CrowdStrike included phishing, credential dumping/lateral movement, unknown malware, PowerShellattacks and more. The report shows that CrowdStrike Falcon was able to detect and prevent every attack to which SANS subjected it. Read this SANS report to learn:?Details on Falcon’s efficacy in preventing a wide range of attacks: Ransomware, lateral movement, PowerShell-based, and more?The power of the CrowdStrike Threat Graph™ and the benefits of its crowdsourced intelligence model ?How CrowdStrike’s ability to capture detailed forensic information on attempted and thwarted attacks, allows you to prevent attacks
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CrowdStrike
Published By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Graph Database Vendor Landscape discusses the expanding graph uses cases, new and emerging graph solutions, the two approaches to graph, how graph databases are able to provide penetrating insights using deep data relationships, and the top 10 graph vendors in the market today Download The Report If You: -Want to know how graph databases work to provide quick, deep, actionable insights that help with everything from fraud to personalization to go-to-market acceleration, without having to write code or spend operating budget on data scientists. -Learn the new graph uses cases, including 360-degree views, fraud detection, recommendation engines, and social networking. -Learn about the top 10 graph databases and why DSE Graph continues to gain momentum with customers who like its ability to scale out in multi-data-center, multi-cloud, and hybrid environments, as well as visual operations, search, and advanced security."
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Datastax
Published By: Symantec     Published Date: Dec 13, 2017
Read this data sheet to find out how Symantec’s solution can help to stop threats regardless of how they attack your endpoints.
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symantec, endpoint, protection, prevention, detection, response, deception, hardening
    
Symantec
Published By: Symantec     Published Date: Dec 13, 2017
By 2021, cyber attacks are expected to cause $6 trillion in damages worldwide. To combat, spending is predicted to hit $1 trillion between 2017 and 2021. Attackers benefit from an infinite amount of time and tactics at their disposal, as they work to get around the typical static network and endpoint defenses organizations put in place. Deception can complement endpoint and network defenses, adding dynamic security mechanisms that can be customized for every environment to take the attacker’s advantage away. While endpoint and network security protects you from being compromised, deception mitigates the effects of a compromise by detecting it early and identifying the attacker intent which helps coordinate a faster and better response. Read this white paper to find out more.
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deception, endpoint, network, security, protection, breach, attack, symantec
    
Symantec
Published By: Symantec     Published Date: Dec 13, 2017
Symantec Endpoint Protection Mobile (SEP Mobile) offers the most comprehensive, highly accurate and effective mobile threat defense solution, delivering superior depth of threat intelligence to predict and detect an extensive range of existing and unknown threats. SEP Mobile’s predictive technology uses a layered approach that leverages massive crowdsourced threat intelligence, in addition to both device- and server-based analysis, to proactively protect mobile devices from malware, network threats, and app/OS vulnerability exploits, with or without an Internet connection.
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mobile, security, technology, deployment, enterprise, crow sourced, intelligence
    
Symantec
Published By: Symantec     Published Date: Dec 13, 2017
Enterprise’s are increasingly under threat from sophisticated attacks. In fact, research has found that threats dwell in a customer’s environment an average of 190 days1. These Advanced Persistent Threats use stealthy techniques to evade detection and bypass traditional security defenses. Once an advanced attack gains access to a customer environment the attacker has many tools to evade detection and begin to exploit valuable resources and data. Security teams face multiple challenges when attempting to detect and fully expose the extent of an advanced attack including manual searches through large and disparate data sources, lack of visibility into critical control points, alert fatigue from false positives, and difficulty identifying and fixing impacted endpoints.
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investigation, exposure, attacks, endpoints, network, email, cloud, security, symantec
    
Symantec
Published By: Symantec     Published Date: Dec 13, 2017
Security teams face sophisticated attacks that ‘hide in plain sight’ and often dwell in customer environments as long as 190 days1. And attackers increasingly employ stealthy techniques to move freely within a customer environment like using stolen credentials to masquerade as legitimate users. There has been a marginal decline in zero-day discoveries and an increase in ‘living off the land’ tactics that don’t rely on the traditional combination of vulnerabilities followed by malware. These tactics are more difficult to detect since they make use of legitimate tools.
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security, software, detection, network
    
Symantec
Published By: Fiserv     Published Date: Mar 02, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations. In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: • Global payment initiatives • Open Banking standards • Artificial intelligence and machine learning • Consumer demand for real-time fraud prevention and detection
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cyber crime, financial crime, financial security, customer experience, financial crime risk management, global payments, open banking standards, artificial intelligence, machine learning, fraud prevention, fraud detection
    
Fiserv
Published By: IBM     Published Date: May 02, 2018
Learn what factors to consider in making your business case for digital identity fraud detection.
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identity fraud, security, fraud detection
    
IBM
Published By: IBM     Published Date: May 30, 2018
Security and risk management leaders are implementing and expanding SIEM to improve early targeted attack detection and response. Advanced users seek SIEM with advanced profiling, analytics and response features.
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IBM
Published By: Group M_IBM Q418     Published Date: Nov 01, 2018
Organizations globally realize that working only to prevent and detect cyberattacks will not protect them against cyber security threats. That is why IBM Resilient® was developed: to arm security teams with a platform for managing, coordinating, and streamlining incident response (IR) processes. IBM Security has had the privilege of working with organizations of all sizes and across all industries as they implement Resilient solutions to develop more sophisticated and robust incident response functions. These organizations build IR processes that are consistent, repeatable, and measurable, rather than ad hoc. They make communication, coordination, and collaboration an organization-wide priority. They leverage technology that empowers the response team to do their job faster and more accurately
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Group M_IBM Q418
Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively. Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies. Download this solution brief to learn more.
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TIBCO Software APAC
Published By: Menlo Security     Published Date: Jun 01, 2018
"According to Gartner, ""by 2022, 25% of enterprises will adopt browser isolation techniques for some high-risk users and use cases, up from less than 1% in 2017.” ""By effectively isolating endpoints from browser-executable code, attacks that compromise end-user systems will be reduced by 70%, while eliminating the need to detect or identify malware."" -Gartner What do these organizations know that you don’t? Learn more about why Gartner believes this to be true in this report."
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Menlo Security
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
The security information and event management (SIEM) market is defined by the customer's need to analyze event data in real time for the early detection of targeted attacks and data breaches, and to collect, store, analyze, investigate and report on event data for incident response, forensics and regulatory compliance. The vendors included in our Magic Quadrant analysis have products designed for this purpose, and they actively market and sell these technologies to the security buying center.
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Group M_IBM Q119
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