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What is Sangfor Athena NDR?

Sangfor Athena NDR is a sophisticated network detection and response platform designed to provide deep, real-time visibility into network traffic and identify sophisticated cyber threats using AI-powered behavioral analytics. It detects threats such as lateral movement, ransomware, insider attacks, and advanced persistent threats that often go unnoticed by traditional tools. The platform analyzes full network traffic across all segments, establishing normal activity baselines to identify anomalies and suspicious behavior. Athena NDR integrates seamlessly with existing firewall and endpoint security solutions, offering a unified dashboard for threat management and automated incident response. Its advanced capabilities include threat hunting, attack chain visualization, and rapid cyber forensic investigations that help security teams understand and mitigate complex attacks quickly. The platform features built-in SOAR capabilities, automating routine responses and reducing alert fatigue. Sangfor’s Detection GPT, a GenAI-powered detection model, is available as an add-on to enhance detection of zero-day and unknown threats. Athena NDR is recognized as a top global vendor in the Gartner Market Share report and named a Representative Vendor in Gartner’s Market Guide for NDR. It provides enterprise-level security functionality at a lower cost than many competing XDR and SIEM solutions. With fast deployment and intuitive operation, Athena NDR enables organizations to strengthen their security posture and efficiently manage network-based threats.

What is Riverbed NetProfiler?

Cybercriminals continuously seek out new strategies to breach your security measures, and as you implement protective protocols, they skillfully take advantage of any weaknesses present. Therefore, having a strong network security solution is crucial to maintaining both the integrity and accessibility of your system. Riverbed NetProfiler transforms network data into actionable security intelligence, providing essential visibility and forensic capabilities for thorough threat detection, analysis, and response. By diligently capturing and storing all network flow and packet information within your organization, it grants you the critical insights necessary to detect and examine advanced persistent threats that might bypass conventional preventative measures, along with those threats that originate internally. Among the prevalent disruptions to business operations are Distributed Denial of Service (DDoS) attacks, which frequently target essential infrastructures such as power plants, healthcare facilities, educational institutions, and government agencies. Safeguarding against these dangers involves more than just defense; it is about ensuring the continued functionality of vital services that society depends on. Consequently, a proactive approach to network security is essential in mitigating risks and fostering resilience in the face of evolving cyber threats.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Check Point IPS
Check Point Infinity
Gigamon
Microsoft 365
Microsoft Azure
Network Critical
Oracle Cloud Infrastructure
Pliant
Zscaler

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Sangfor Technologies

Date Founded

2000

Company Location

China

Company Website

www.sangfor.com/cybersecurity/sangfor-athena-foundation/network-detection-and-response-ndr

Company Facts

Organization Name

Riverbed Technology

Date Founded

2002

Company Location

United States

Company Website

www.riverbed.com/products/netprofiler/

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