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Garland Technology and BluVector® are dedicated to sharing network connectivity best practices and inline security management, propagating why having reliable data in your network is incredibly important for security.
BluVector, recently acquired by Comcast, is a leading network security provider. The data BluVector provides empowers security teams to uncover real threats, allowing business and governments to operate with confidence that their systems are protected.
Garland Technology’s EdgeSafe™ Bypass TAPs provide 100% visibility, and 360° views for BluVector sensors to monitor north-south traffic and the flows getting past firewalls. The sensors can also be deployed on an internal LAN segment to acquire data related to lateral movement of threats in the network. Once the data is collected and put into a collector mode through the device, the traffic can be measured and segmented with machine learning and aggregated event data, which is then forwarded to a SIEM.
As data centers grow, data segment applications and additional data to manage can grow exponentially. It’s the natural evolution of services being provided, which can be challenging to scale, thus introducing bottlenecks and opportunities for downtime. To mitigate this risk, a toolset for performance, monitoring & analytics, or active security is needed for visibility into the network.
Before passing through the BluVector scalable file analyzer, the reassembled packets carve out metadata and files. The data going into BluVector is primarily live traffic, therefore files or PCAP data can be submitted in parallel. Once the data is passed, a series of different engines analyze the data. The Core engine is the machine learning engine where about 40 different file types are uncovered.
From the data fed from the Network TAPs into BluVector sensors, a speculative code execution engine is used. This coding primarily focuses on two things:
BluVector will carve out JavaScript segments from the wire. Using the speculative coding, the segments are inspected for suspicious intent with 100% code coverage. The platform uses a series of heuristics when the malicious code has been identified.
BluVector shows what has been determined malicious through a list of event cards representing a high level of information. The event detail shows everything captured by the Zeek metadata and from the Garland Network TAP. Since every piece of the data is logged and connected, BluVector filters and indexes the information automatically. This produces a great visual of the time the event took place. As an analyst, this is important to drill into the transferred executable file to see immediately where the metadata and file type is located.
Machine learning is used to train the data as events are adjudicated. The events are marked as malicious or false positive automatically, providing batch training systems and statistically sampled data. In order for BluVector sensors to analyze malicious data, a Bypass TAP is needed to provide live traffic. This starts at the foundational layer providing multi mode tool capabilities and visibility into the environment. Garland Technology's Network TAPs allow the right data to be driven to the right place at the right time.
{Ready to learn more about how BluVector and Garland Technology work together to deliver high-fidelity detection, at scale and in real-time? Watch our latest webinar today!}