Security Operations for Security Incident Response
Tols and platforms for managing and optimizing security operations centers (SOCs). Task: Security Incident Response
Explore 7 curated tools and resources
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A project that uses Athena and EventBridge to investigate API activity and notify of actions for incident response and misconfiguration detection.
A collection of incident response methodologies for various security incidents, providing easy-to-use operational best practices.
Incident response and case management solution for efficient incident response and management.
Web-based tool for incident response with easy local installation using Docker.
Dispatch helps manage security incidents by integrating with existing tools and automating incident response tasks.
Open-source, free, and scalable cyber threat intelligence and security incident response solution with improved performance and new features.
A framework for accumulating, describing, and classifying actionable Incident Response techniques
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InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
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.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.
RoboShadow
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.