Essential tools and best practices for securing software applications throughout their lifecycle. Task: Sast
Explore 10 curated tools and resources
Application security platform that combines SAST and SCA with runtime intelligence to validate vulnerability exploitability and provide contextual remediation guidance.
Arnica is an application security platform that offers real-time scanning, risk mitigation, and management across various aspects of the software development lifecycle.
Backslash Security is an application security platform that uses reachability analysis to enhance SAST and SCA, prioritize vulnerabilities, and provide remediation guidance.
Aikido is an all-in-one security platform that combines multiple security scanning and management functions for cloud-native applications and infrastructure.
The Contrast Runtime Security Platform is a suite of application security tools that integrates security into the software development lifecycle and production environments, including IAST, SAST, RASP, and SCA capabilities.
Checkmarx One SAST is a static application security testing tool that combines speed and security to improve developer experience.
Static application security testing (SAST) tool for scanning source code against security and privacy risks.
SAST and malware analysis tool for Android APKs with detailed scan information.
Static security code scanner (SAST) for Node.js applications with Docker support and integrations with Slack.
Gitleaks is a SAST tool for detecting and preventing hardcoded secrets in git repos.
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.
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.