Application Security for Devops
Essential tools and best practices for securing software applications throughout their lifecycle. Task: Devops
Explore 5 curated tools and resources
RELATED TASKS
LATEST ADDITIONS
Aqua Security is a CNAPP that provides comprehensive security for cloud native applications across their entire lifecycle, from development to production, in various cloud and container environments.
A developer-first, API-driven platform that provides development teams with a suite of tools to improve code quality, security, and engineering performance, seamlessly integrated into their existing development workflows.
Insider is a source code analysis tool focusing on OWASP Top 10 vulnerabilities with easy integration into DevOps pipelines.
A simple, secure framework for building scalable applications
App-Ray offers comprehensive security analysis and compliance solutions for mobile applications.
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Commercial
Resources
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.
Free
Security Operations
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Free
Blogs and News
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.
Commercial
Cloud Security
RoboShadow
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Commercial
Vulnerability Management
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.
Commercial
AI Security