Hayabusa is a Windows event log fast forensics timeline generator and threat hunting tool created by the Yamato Security group in Japan. It is written in Rust, supports multi-threading for speed, and offers Sigma-compatible detection rules in YML format for easy customization and extensibility. It can be used for live analysis on single systems, offline analysis on multiple systems, or enterprise-wide threat hunting with Velociraptor, providing a consolidated CSV timeline output for analysis in various tools like LibreOffice, Timeline Explorer, Elastic Stack, and Timesketch.
Easy-to-use live forensics toolbox for Linux endpoints with various capabilities such as process inspection, memory analysis, and YARA scanning.
A digital forensic tool for creating forensic images of computer hard drives and analyzing digital evidence.
A comprehensive guide to incident response and computer forensics, covering the entire lifecycle of incident response and remediation.
Open Source computer forensics platform with modular design for easy automation and scripting.
A python module for orchestrating content acquisitions and analysis via Amazon SSM.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
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.
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.