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Director, OpenShift Strategy at Red Hat. Founder of Rishidot Research, a research community focused on services world. His focus is on Platform Services, Infrastructure and the role of Open Source in the services era. Krish has been writing @ CloudAve from its inception and had also been part of GigaOm Pro Analyst Group. The opinions expressed here are his own and are neither representative of his employer, Red Hat, nor CloudAve, nor its sponsors.

3 responses to “Panda Releases Cloud Antivirus”

  1. Antivirus

    I may sound a bit off base here, but please continue reading. Ok, so we have this new cloud antivirus application that had a 98% detect rate. How do we know it is 98%? I assume because there was a list of known threats on the computer matched up to the software, and the software only found 98% of those known threats. My question is this, if the list of bugs was known to those doing the test, why was it not known to the cloud antivirus software? Why are the definitions not complete on this cloud app? Call me crazy, but I want to to achieve that mythical 100% detection rate. I am much more interested in what it did NOT detect than what it did.

  2. anonymous

    Have you considered that 2% might be false positives or that could have developed harmless test files the engine has not previously seen?

    Although 100% would be great I doubt we will ever hit that mark.

  3. Hendrik

    Oberheide and the gang used a dataset of malware that was collected between November 11th, 2006 and November 11th, 2007. The signatures of their AV engines were set to November 11th, 2007. So with the knowledge that ALL samples in the dataset were malicious they could test the detection rate. The detection rate for one year old malware using ten engines was 98%. For more recent threads it decreased down to 88%. For details see