Monitoring
Explore 13 curated tools and resources
LATEST ADDITIONS
WPMissionControl is a WordPress-focused security and uptime monitoring tool that offers continuous website checks, alerts, and malware cleanup services.
WordPress honeypot tool running in a Docker container for monitoring access attempts.
Datadog offers a comprehensive suite of cybersecurity tools for various aspects of application and infrastructure monitoring.
A low-interaction SSH authentication logging honeypot that logs all authentication attempts in JSON format.
Windows anti-forensics USB monitoring tool with the ability to shutdown the computer upon detecting the unplugging of a specified USB device.
An Event Hub to gather, process, and monitor system events and link them to an inventory.
A Terraform module to set up a secure AWS account configuration baseline
A combination of honeypot, monitoring tool, and alerting system for detecting insecure configurations.
AWS Cloud Security offers security services and compliance tools for securing data and applications on AWS.
A repository providing guidance on collecting security-relevant Windows event logs using Windows Event Forwarding (WEF).
Hale is a botnet command & control monitor/spy with a modular design and various monitoring capabilities, including IRC and HTTP, to aid in botnet hunting and research.
A full featured script to visualize statistics from a Shockpot honeypot, based on Kippo-Graph and utilizing various PHP libraries.
Monitor WMI consumers and processes for potential malicious activity
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Fabric Platform by BlackStork
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
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Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Adversa AI
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.