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Vehere Launches a New Release for Its AI Network Security Software, Promises to Redefine the Cybersecurity Landscape

VEHERE LAUNCHES A NEW RELEASE FOR ITS AI NETWORK SECURITY SOFTWARE, PROMISES TO REDEFINE THE CYBERSECURITY LANDSCAPE

Vehere, a leading cybersecurity software company with expertise in AI cyber network intelligence, recently unveiled the latest build of their Network Security Software—NDR 1.4.1—with a slew of new features and enhancements to amplify its functionality. Vehere’s AI Network Security software is a unified solution of Network Detection & Response and Network Forensics that protects the network ecosystem of enterprises through complete visibility, threat hunting, and full digital forensics & response.

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Vehere Network Detection & Response detects abnormal system behaviors by leveraging behavioral analytics and AI-ML. It also detects and contains post-breach activity such as ransomware, APTs, insider threats, or lateral movements. On the other hand, Vehere Network Forensics supports security incident response and investigation of the source of an incident, analyzes and reconstructs attack timelines, and provides evidence for legal proceedings.

Some of the key highlights of this product release are:

  • Detection improvement with new rules to identify the latest threats
  • Simultaneous processing of Raw and Flow Traffic
  • Upgraded ML and Behavioral Analytics
  • Interactive GUI for Alerts for enhanced Analyst workflow
  • Link Analysis

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Vijay Gullapalli, VP of Engineering, passionately expressed, “Our latest release elevates the detection capabilities of Vehere’s AI Network Security Software, delivering enterprises with an unparalleled defense against the dynamic spectrum of cyber threats. This truly encapsulates Vehere’s engineering brilliance and our relentless pursuit of creating a safer cyberspace. Our goal is to keep this momentum going, scaling new heights, and establishing Vehere as the foremost global leader in cybersecurity.”

[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

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