Solutions for collecting, analyzing, and managing security logs and events. Task: Incident Response
Explore 10 curated tools and resources
A cloud-native SIEM platform that provides security analytics, intuitive workflow, and simplified incident response to help security teams defend against cyber threats.
A collection of free shareable log samples from various systems with evidence of compromise and malicious activity, maintained by Dr. Anton Chuvakin.
Windows Event Log Analyzer with logon timeline generator and noise reduction for fast forensics.
A community-led project focused on standardizing security event logs.
Serverless, real-time data analysis framework for incident detection and response.
ELAT (Event Log Analysis Tool) is a tool that helps in analyzing Windows event logs for malware detection.
Access a repository of Analytic Stories and security guides mapped to industry frameworks, with Splunk searches, machine learning algorithms, and playbooks for threat detection and response.
A tool collection for filtering and visualizing logon events, designed for experienced DFIR specialists in threat hunting and incident response.
Graylog offers advanced log management and SIEM capabilities to enhance security and compliance across various industries.
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.
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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.