Threat Modeling
Explore 7 curated tools and resources
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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.

Mandos Brief Newsletter
A weekly newsletter providing cybersecurity leadership insights, industry updates, and strategic guidance for security professionals advancing to management positions.

Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.

Check Point CloudGuard WAF
A cloud-native web application and API security solution that uses contextual AI to protect against known and zero-day threats without signature-based detection.

Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.

DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.

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.
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An application security platform that provides runtime threat modeling, vulnerability management, and automated remediation workflows with a focus on identifying exploitable vulnerabilities in production environments.
A Pythonic framework for automated threat modeling shifting left.
SeaSponge is an accessible web-based threat modeling tool with a focus on accessibility, aesthetics, and intuitive user experience.
A summary of the threat modeling posts and final thoughts on the process
A comprehensive online resource for application security knowledge
Globally-accessible knowledge base of adversary tactics and techniques for cybersecurity.
A minimalistic Java library for representing threat model data in a normalized way and automating threat intelligence extraction.