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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Malcolm serves as an open-source platform for security monitoring, aimed at assisting security experts in the collection, processing, and analysis of network data to facilitate threat detection and incident response. By integrating a suite of robust tools, it enables users to capture and visualize network traffic, log information, and security alerts effectively. The platform features a user-friendly interface that simplifies the investigation of potential threats, granting security analysts detailed insights into network activities. Scalability is a key aspect of Malcolm, as it offers versatile deployment options suitable for a range of environments, from small businesses to large corporations. Additionally, its modular architecture allows users to tailor the platform according to their unique security needs, while seamless integration with other observability tools enhances overall monitoring capabilities. Although Malcolm excels in general network traffic analysis, its developers recognize a specific demand within the community for tools that deliver insights into protocols employed in industrial control systems (ICS), thereby addressing a critical niche in security monitoring. This focus on ICS enhances the platform’s relevance in sectors where such systems are vital for operational integrity and safety.

Description

Sangfor Athena NDR is a cutting-edge network detection and response platform that leverages AI and behavioral analytics to provide comprehensive, real-time monitoring of network traffic. It excels at identifying hidden threats such as lateral movement, ransomware, insider attacks, and advanced persistent threats that evade conventional detection methods. The system offers centralized threat management, detailed forensic investigation tools, and automated incident response to reduce response times and improve security operations. Athena NDR integrates seamlessly with firewall and endpoint protection tools, creating unified visibility and coordinated response capabilities similar to a full-scale SOC. It captures traffic data from all network segments—both north-south and east-west—using AI to detect anomalies based on learned baselines of normal activity. The platform supports threat hunting and attack chain visualization, enabling proactive defense strategies. Its GenAI-powered Detection GPT enhances zero-day threat detection as an optional add-on. Athena NDR delivers enterprise-grade security at a fraction of the cost of traditional XDR and SIEM solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Suricata
Zeek

Integrations

Suricata
Zeek

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Malcolm

Country

United States

Website

malcolm.fyi/

Vendor Details

Company Name

Sangfor Technologies

Founded

2000

Country

China

Website

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

Product Features

Network Traffic Analysis (NTA)

Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption

Product Features

Endpoint Detection and Response (EDR)

Behavioral Analytics
Blacklisting/Whitelisting
Continuous Monitoring
Malware/Anomaly Detection
Prioritization
Remediation Management
Root Cause Analysis

Network Traffic Analysis (NTA)

Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption

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