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Websense® Security Labs uses the Websense ThreatSeeker® Network to discover, classify, and monitor global Internet threats and trends. Featuring the world's first
Internet HoneyGrid, the system uses hundreds of technologies including honeyclients, honeypots, reputation systems, machine learning, and advanced grid computing systems to parse through more than 1 billion
pieces of content daily, searching for security threats.
Every hour the ThreatSeeker Network scans more than 40 million websites for malicious code and nearly 10 million emails for unwanted content and malicious
code. Using more than 50 million real-time data collecting systems, it monitors and classifies Web, email, and data content. Together with the Websense
Advanced Classification Engine (ACE) - an advanced composite content classification engine embedded in Websense solutions — the ThreatSeeker
Network provides Websense with unparalleled visibility into the state of content on the Internet and in email.
The amount of time your employees spend surfing the internet can result in
a tidal wave of unproductivity and expose your business to security threats such as viruses, spyware, spam and malicious code. We can re-align your
company's web surfing for business purposes keeping your system safe from internet threats.
This report summarizes the significant findings of Websense researchers using the ThreatSeeker Network.
Websense Statistics - 2010
- 79.9% of websites with malicious code were legitimate sites that have been compromised.
- Since April 2010, the ThreatSeeker Network has detected over 1 million malicious URLs every month.
- The number of malicious websites jumped 111.4% from 2009 to 2010
- 52% of data stealing attacks occurred over the Web - Concerns about accidental data loss have become a front burner issue for many organizations in 2010
- Websense research shows 22.4% of real-time search results on entertainment will lead to a malicious link
- More than 80,000 email messages relating to World Cup soccer used an HTML attachment with an embedded JavaScript that led to a malicious website
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