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Ratings and Reviews 6 Ratings
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What is Malcolm?
Malcolm acts as a comprehensive open-source platform for security monitoring, designed to support security professionals in gathering, processing, and analyzing network data to improve threat detection and incident response efforts. By combining a variety of powerful tools, it empowers users to efficiently capture and visualize network traffic, log data, and security alerts. The platform is equipped with an intuitive interface that streamlines the investigation of possible threats, providing security analysts with in-depth insights into network behaviors. Scalability is a fundamental feature of Malcolm, as it presents flexible deployment options that cater to diverse environments, ranging from small enterprises to large organizations. Moreover, its modular design allows users to customize the platform to meet their specific security requirements, while smooth integration with other observability tools bolsters overall monitoring efficacy. Although Malcolm is proficient in general network traffic analysis, its creators acknowledge a pronounced need within the community for tools focused on understanding the protocols used in industrial control systems (ICS), thus filling a vital gap in security monitoring. This emphasis on ICS not only enhances the platform’s applicability but also underscores its importance in industries where such systems play a crucial role in maintaining operational integrity and safety, making Malcolm a pivotal resource for security experts across various sectors.
What is IBM QRadar SIEM?
As a leader in the industry, QRadar SIEM is engineered to outpace adversaries through improved speed, scalability, and accuracy. With the rise of digital threats and increasingly sophisticated cyber attackers, the role of SOC analysts has never been more critical. QRadar SIEM equips security teams to address contemporary threats proactively by integrating advanced AI, comprehensive threat intelligence, and cutting-edge resources, thereby enhancing analysts' capabilities. Whether you need a cloud-native solution designed for hybrid setups or a system to augment your existing on-premises infrastructure, IBM provides a SIEM solution tailored to your unique requirements. Additionally, IBM's enterprise-grade AI is designed to elevate the productivity and expertise of each member within the security team. By implementing QRadar SIEM, analysts can reduce the burden of time-consuming manual processes such as case management and risk assessment, enabling them to focus on vital investigations and remediation actions, ultimately strengthening their overall security posture. This innovative approach not only streamlines operations but also fosters a more resilient security environment.
Integrations Supported
Activu
Cisco Cyber Vision
Claroty
DNSSense
FortiManager
GREYCORTEX Mendel
HUMAN Bot Defender
IRONSCALES
Junos Traffic Vision
Logsign
Integrations Supported
Activu
Cisco Cyber Vision
Claroty
DNSSense
FortiManager
GREYCORTEX Mendel
HUMAN Bot Defender
IRONSCALES
Junos Traffic Vision
Logsign
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
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
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Malcolm
Company Location
United States
Company Website
malcolm.fyi/
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/qradar-siem
Categories and 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
Categories and Features
Incident Response
Attack Behavior Analytics
Automated Remediation
Compliance Reporting
Forensic Data Retention
Incident Alerting
Incident Database
Incident Logs
Incident Reporting
Privacy Breach Reporting
SIEM Data Ingestion / Correlation
SLA Tracking / Management
Security Orchestration
Threat Intelligence
Timeline Analysis
Workflow Automation
Workflow Management
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
SIEM
Application Security
Behavioral Analytics
Compliance Reporting
Endpoint Management
File Integrity Monitoring
Forensic Analysis
Log Management
Network Monitoring
Real Time Monitoring
Threat Intelligence
User Activity Monitoring
Vulnerability Scanners
Asset Discovery
Black Box Scanning
Compliance Monitoring
Continuous Monitoring
Defect Tracking
Interactive Scanning
Logging and Reporting
Network Mapping
Perimeter Scanning
Risk Analysis
Threat Intelligence
Web Inspection