Network Forensics

Analyze, Investigate & Secure
With Network Forensics

Network Packet data is often considered as the cyber source of truth. Packets on the wire are least susceptible to tampering and become the best way of investigating issues or, detecting threats/malware from the original content.​ Enhance cyber resilience with Network Forensics against the inevitable attack. Leveraging full data capture, SecOps teams make quality decisions to exterminate threat actors.

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PacketWorker

When you're dealing with information sprawl from traditional data-centers to cloud and onto the personal assets of a tech-savvy mobile co-worker; PacketWorker becomes the go-to solution to help retain persistent ability to detect and defend your users and their precious work.

AI Network Security

100% contextual information with ML threat intelligence for efficient analysis

7 minutes for responding and correlating alerts in real-time, with frictionless integrations, enabling task completion

Network agnostic, flexible deployments

Vehere NDR supports investigation and analysis of the root cause of network leakage, data theft and suspicious network traffic.​  

Lossless network traffic capture ensures that no crucial evidence is lost during data collection. This enables the security team to analyze both live and historical traffic seamlessly.

Patent-pending Indexed-Raw technique allows for the rapid retrieval of packets, ensuring that critical information is accessible when required. This process makes it easier to comply with regulatory requirements while deriving valuable insights from the network data.

Comprehensive Root Cause Analysis, allowing teams to pinpoint the origin of attacks, methods used, and vulnerabilities exploited.

Through Timeline Reconstruction, get a detailed sequence of events before, during, and after incidents, delivering critical insights into attacker actions and their progression.

To learn more about Vehere AI Network Security and other offerings, please fill the following form or email to [email protected]