The MITRE Cyber Analytics Repository (CAR) is a knowledge base of analytics developed by MITRE based on the MITRE ATT&CK adversary model. CAR defines a data model leveraged in its pseudocode representations and includes implementations targeted at specific tools (e.g., Splunk, EQL). It focuses on providing well-explained analytics with validated operating theory and rationale, covering a set of ATT&CK tactics and techniques.
Deliberately vulnerable CI/CD environment with 11 challenges to practice security.
A comprehensive guide to digital forensics and incident response, covering incident response frameworks, digital forensic techniques, and threat intelligence.
A guide on how to contribute to the Ayehu Custom Activities Repository
HTB Academy offers guided cybersecurity training with industry certifications to help you become a market-ready professional.
A collection of lab scripts and files for learning about containers and container internals.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
A weekly newsletter providing cybersecurity leadership insights, industry updates, and strategic guidance for security professionals advancing to management positions.
An AI-powered platform that automates threat hunting and analysis by processing cyber threat intelligence and generating customized hunt packages for SOC teams.
Aikido is an all-in-one security platform that combines multiple security scanning and management functions for cloud-native applications and infrastructure.
Permiso is an Identity Threat Detection and Response platform that provides comprehensive visibility and protection for identities across multiple cloud environments.
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 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.