Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
R-Scope serves as an advanced network security sensor, designed specifically for both threat detection and hunting. By delivering network activity within a contextual framework, it facilitates a more accurate and expedited identification of real threats. Incident Responders gain significant advantages from R-Scope’s output, which boasts a richness that is 100 times greater than that of its competitors while maintaining a lower storage footprint and cost. This system not only identifies threats swiftly but also allows for quick and comprehensive remediation efforts. R-Scope comes in various configurations to accommodate different enterprise deployment needs. For conventional data centers, it is offered as a 1U appliance, with pricing adjusted based on throughput specifications. Additionally, software-only options are available for those seeking greater deployment flexibility. For cloud implementations, potential users are encouraged to reach out to Reservoir Labs. Every version of R-Scope is meticulously hardened and fully supported to thrive in the most rigorous business settings. Furthermore, support and services are delivered directly by skilled engineers from Reservoir Labs, ensuring high-quality assistance. This commitment to support enhances the overall reliability and effectiveness of R-Scope in safeguarding network environments.
API Access
Has API
No
API Access
Has API
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Malcolm
Country
United States
Website
malcolm.fyi/
Vendor Details
Company Name
Reservoir Labs
Founded
1990
Country
United States
Website
www.reservoir.com/cybersecurity/
Product Features
Network Traffic Analysis (NTA)
Anomalous Behavior Detection
No
High Bandwidth Usage Monitoring
No
Historical Behavior Data
No
Identify High Network Traffic Sources
No
Network Transaction Visibility
No
Stream Data to IDR or Data Lake
No
Traffic Decryption
No
Product Features
Network Traffic Analysis (NTA)
Anomalous Behavior Detection
No
High Bandwidth Usage Monitoring
No
Historical Behavior Data
No
Identify High Network Traffic Sources
No
Network Transaction Visibility
No
Stream Data to IDR or Data Lake
No
Traffic Decryption
No