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Rapid7 has launched the new version of its vulnerability management solution to support virtual environment scanning.
Nexpose 5.0 will allow organisations to secure virtual environments and technologies. It also uses new malware intelligence to identify vulnerabilities.
With new and more severe vulnerabilities affecting management consoles and servers, administrative virtual machines (VMs), guest VMs and hypervisors, the interest in virtualisation has increased.
Rapid7 said Nexpose 5.0 is the first vulnerability management solution to offer the patent-pending vScan technology, which enables continuous discovery of virtual machines in their dynamic environments to ensure they are included in scanning, prioritisation and remediation efforts.
Virtualisation management metadata is used to discover and track assets in their virtual infrastructure, giving defenders an up-to-date and accurate view of real risk across their physical and virtual infrastructures. These capabilities for virtualisation management will initially be available for the VMware vCenter server.
Also introduced is the Real Risk technology using Rapid7's Malware Exposure, which identifies the vulnerabilities exploited.
The company said it offers the ability to map identified vulnerabilities to known exploits by enabling defenders to factor malware kits into risk intelligence.
Defenders can also dynamically track and report on critical physical and virtual IT assets over time, including when these assets change, come online or are powered off.
Mike Tuchen, president and CEO of Rapid7, said: “There is no silver bullet for addressing the issue of security, so it is essential that organisations are armed with real security risk intelligence and innovative solutions to identify, understand, prioritise and address the specific threats and risks facing them every day".
“A critical element of this is ensuring that defenders can keep up with the IT deployment paradigms that are shaping the threat landscape.”
This article originally appeared at scmagazineuk.com
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