drydock is a Docker security audit tool written in Python. It allows for the easy creation and use of custom audit profiles to eliminate noise and false alarms. Reports are saved in JSON format for easier parsing. drydock is based on the CIS Docker 1.6 Benchmark and heavily uses the docker-py client API for communication with Docker. To use drydock, clone the repository, install requirements, and run the tool with a provided profile or create custom profiles.
A project exploring minimal set of restrictions for running untrusted code using Linux containers in a concise codebase.
Burp extension for identifying cloud buckets and testing for vulnerabilities
Open-source policy-as-code software for multi-cloud and SaaS environments with GPT model conversations and custom analysis policies.
LogRhythm SIEM is a comprehensive security information and event management platform that collects, analyzes, and responds to security events across an organization's IT infrastructure.
Multi-account cloud security tool for AWS with real-time reporting and auto-remediation capabilities.
A customized AWS EKS setup for PCI-DSS, SOC2, and HIPAA compliance
A detection-as-code platform for streamlining cloud security operations and responding to security incidents.
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.