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| Dec 3, 2009 |
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Evolving Threat Landscape: Business Risk Analysis Methodologies in a (More) Connected World
sponsored by ESET
WEBCAST:
All organizations must face the realities of cyber security risks. Watch this webcast for an informative examination of cyber-risk, risk analysis, and risk mitigation options.
Posted: 22 Oct 2009 | Premiered: 22 Oct 2009
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State of New York Government Case Study
sponsored by McAfee, Inc.
VIDEO:
See how the State of New York saved millions of dollars, reduced management time, and improved compliance by standardizing on McAfee for complete system protection.
Posted: 30 Sep 2009 | Premiered: 30 Sep 2009
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Podcast: Application Whitelisting: The Must Have Technology for Security and Compliance Today
sponsored by McAfee, Inc.
PODCAST:
In this podcast learn ways to combat the malicious code of malware and trojans from McAfee's Stuart McClure. Gain insight into how application whitelisting, a means of providing security with less overhead without negative performance impact, can aid your compliance initiatives while not raising operational costs.
Posted: 14 Sep 2009 | Premiered: 14 Sep 2009
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Application Whitelisting: The Must Have Technology for Security and Compliance Today
sponsored by McAfee, Inc.
WEBCAST:
In this webcast, learn ways to combat the malicious code of malware and trojans from McAfee's Stuart McClure. Gain insight into how application whitelisting, a means of providing security with less overhead without negative performance impact, can aid your compliance initiatives while not raising operational costs.
Posted: 14 Sep 2009 | Premiered: 14 Sep 2009
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Protection in Numbers with the WebPulse Community Watch Cloud Service
sponsored by Blue Coat
WEBCAST:
Web malware has changed the playing field making traditional URL filtering and anti-virus solutions with daily updates less effective. Learn why and what you should change in this valuable webinar.
Posted: 14 May 2009 | Premiered: 14 May 2009
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ANTI-SPYWARE SOFTWARE DEFINITION (continued):
spam. Scores are computed and the message is assigned a probability rating. For example, it may be determined that a message has 85% probability that it is spam. E-mail administrators can create rules that govern how the messages are handled based on their scores; the highest scores may be deleted, medium scores may quarantined, and lower scores may be delivered but marked with a spam warning.A spam cocktail commonly includes several of the following identification methods, which may be weighted differently for message scoring:Machine learning: Implementing sophisticated computer algorithms that
Anti-Spyware Software definition sponsored by SearchSecurity.com, powered by WhatIs.com an online computer dictionary
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