Highly Anticipated Security Tool Released by Microsoft – Avails New Linux as a Preview

Highly Anticipated Security Tool Released by Microsoft

Microsoft released its much-anticipated cloud based tool for bug detection on Monday, July 24, 2017. The previous code name for the tool was ‘Project Springfield’. This tool has become available on Windows version and a fresh Linux version was released and made available for people as a preview last week. This risk detection tool from Microsoft uses innovative artificial intelligence to actively track various security susceptibilities in a software before it gets released.

Researcher in charge of the team that created the risk detection tool, David Molnar said that this tool will help many developers to conduct effective fuzz testing. Ideally, fuzz testing is conducted using various external consultants to efficiently test any new software. The purpose of fuzz testing is to ensure that all vulnerabilities get rectified and eliminated before the software is ready for its release. This also avoids the requirement of patching any issues on the back end.

The tool makes use of artificial intelligence to ask specific ‘what if’ queries about any new software, thus targeting and scrutinizing critical areas that are more prone to virus attacks by bad data. Microsoft had launched a test version of this risk detecting service last year. A company known as Docusign that offers specialized and personalized electronic signatures via automation, had volunteered to try this service. As per the information given by the senior director of Docusign’s software security department Mr. John Heasman, the tool assisted Docusign to clear the bugs and errors in its software and never provided false results.

Having minimum rate of false positives is extremely essential Heasman added. This is because on several occasions, companies characteristically need to invest considerable amount of time in tracking and analyzing false positives. This time can conversely be used to investigate serious threats and errors.

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