Application Security for Aws
Essential tools and best practices for securing software applications throughout their lifecycle. Task: Aws
Explore 8 curated tools and resources
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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).
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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.
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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.