Essential tools and best practices for securing software applications throughout their lifecycle. Task: Aws
Explore 8 curated tools and resources
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.
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.
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.
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.
Snyk Code is a real-time SAST tool that provides secure code analysis and actionable remediation advice to prevent code delays and ensure secure development.
AWS Web Application Firewall (WAF) for protecting web applications from common exploits.
CFRipper is a Library and CLI security analyzer for AWS CloudFormation templates.
AWS Web Application Firewalls (WAFs) protect web applications and APIs from attacks, providing prebuilt security rules and the ability to create custom rules.
A script that implements Cognito attacks such as Account Oracle or Priviledge Escalation
Static code analyzer for Infrastructure as Code with 500+ security policies and support for various IaC tools and cloud platforms.
A tool to conduct preliminary security checks in code, infrastructure, or IAM configurations using various open-source tools.
A series of levels teaching about common mistakes and gotchas when using Amazon Web Services (AWS).