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Published By: Intralinks     Published Date: Apr 13, 2015
The truth is that they can get a lot worse – and no one is immune. Your company’s data has never been at greater risk. There is no doubt that 2014 was a dire year for many organizations, as they failed to properly protect their computer systems and the data held upon them. As if it wasn’t bad enough keeping on top of new zero-day vulnerabilities, targeted attacks, and revelations of state-sponsored espionage, users are potentially exposing companies’ most important data by not following best practices and using consumer-grade cloud services that aren’t built with enterprise needs in mind. An ever more mobile workforce wants to work on their files remotely but may be taking dangerous risks with sensitive corporate data at the same time. In this white paper, we detail some of the biggest computer security threats of the last year and offer some predictions on what we can expect to see in 2015.
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Intralinks
Published By: ESET     Published Date: Jan 08, 2010
This report provides a report of the Top Computer Threats in the United Kingdom.
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eset, monthly threat report, top computer threat, security, anti spam, anti spyware, anti virus, internet security
    
ESET
Published By: ESET     Published Date: Feb 17, 2010
View this ESET Monthly UK threat report to find out the top computer threats in the UK.
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eset, computer threats, threatsense.net, virus lab, malware, antivirus, trojan, security protection
    
ESET
Published 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
Published By: CrowdStrike     Published Date: Feb 01, 2017
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find 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. Download the white paper to learn: • How to detect known and unknown threats by applying high-volume graph-based technology, similar to the ones developed by Facebook and Google • How CrowdStrike solved this challenge by building its own proprietary graph data model • How CrowdStrike Threat Graph™ collects and analyzes massive volumes of security-related data to stop breaches
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CrowdStrike
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