Arbor Networks Introduces Pravail Security Analytics
Arbor Networks has introduced Pravail Security Analytics for advanced threat detection, incident response and security forensics. The technology delivering this solution was developed by Packetloop, a Sydney, Australia-based innovator in the field of Big Data Security Analytics that was acquired by Arbor in September 2013.
“Arbor is able to offer enterprise security teams the richest set of data regarding the activities happening on their network. Pravail Security Analytics is a powerful solution that will allow our customers to see attacks on their global networks faster and in more detail than seen before. We’re focused on bringing meaningful context to massive amounts of data so that security teams can focus on the critical few, react faster and identify the threats lurking within their network environment before they impact the business,” said Arbor Networks President Matthew Moynahan.
The attack intelligence that keeps Pravail Security Analytics at the cutting edge of network security comes from Arbor’s ATLAS Active Threat Level Analysis System. ATLAS is collaboration with nearly 300 service providers who share anonymous data with Arbor, up to 70TB/sec of global Internet traffic. This collective view delivers globally scoped insight into the attack landscape. This data set is analyzed by Arbor’s security research team who then develops detection methodologies; and creates fingerprints that identify threats and malicious activity occurring within the enterprise.
Today’s breed of attacker is not looking to be a short-term and visible nuisance. They use stealthy and sophisticated methods to penetrate an organization’s perimeter and the indicators of compromise are often impossible to identify before it’s too late. In order to really understand subtle, advanced targeted attacks, enterprises need a complete record of all network traffic. By analyzing data very quickly, Pravail Security Analytics can be used for real-time attack response decisions, and by storing the data for future reviews, it can be looped to identify previously undetected attacks using the latest threat intelligence.
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