27 Meilleurs Outils SAST pour un Codage Sécurisé en 2026

SonarQube is a Static Application Security Testing (SAST) tool that combines code security and quality in a single platform. It performs static code analysis to find bugs, vulnerabilities, and code smells in human-written and AI-generated code. The platform supports SAST, taint analysis, secrets detection, software composition analysis (SCA), and infrastructure-as-code (IaC) scanning.

Why I picked SonarQube: I included SonarQube because it joins security analysis with code quality, helping teams keep code secure and maintainable. It integrates with CI/CD pipelines for consistent checks across development stages. The tool supports multiple programming languages and produces clear reports showing where issues occur. It also includes optional LLM-powered fix suggestions for quicker remediation.

Standout features & integrations:

Features include static analysis for bugs and vulnerabilities, detailed reporting, and secrets detection with over 400 patterns.

Integrations include Jenkins, Azure DevOps, GitHub, GitLab, Bitbucket, Bamboo, TeamCity, CircleCI, Travis CI, and SonarCloud.

Corgea is built for developers and security teams who want stronger application security through static analysis. It uses AI to surface vulnerabilities that traditional tools often miss, including business logic flaws and configuration issues. Because it integrates directly into common development environments, teams can improve security without slowing down their workflow.

Why I Picked Corgea

I picked Corgea because its AI-driven analysis reduces false positives while improving detection quality. Its use of Large Language Models (LLMs) helps it reason about code context and catch issues like business logic flaws that are typically hard to find with rule-based scanners. Corgea also fits cleanly into CI/CD pipelines, providing real-time feedback so teams can fix issues early and keep security part of the normal development process.

Corgea Key Features

In addition to its AI-driven analysis, I also found the following features noteworthy:

• Comprehensive Language Support: Analyzes code across 10+ languages and frameworks, ensuring broad coverage for diverse tech stacks.
• Secret Scanning: Identifies hardcoded secrets and sensitive data within your code to prevent data breaches.
• Intelligent File Filtering: Optimizes scan performance by excluding non-relevant files, ensuring accurate and efficient analysis.
• Automated Fixing: Offers context-aware fixes that can be applied either automatically or after review, streamlining the remediation process.

Corgea Integrations

Integrations include CI/CD pipelines, pull request reviews, IDE support, GitHub, GitLab, Bitbucket, Jenkins, and Azure DevOps.

ZeroPath is designed to help development and security teams get ahead of code vulnerabilities by using AI to surface issues such as broken authentication, logic bugs, exploitable dependencies, and misconfigured pipelines. If your team is building software rapidly and wants a SAST solution that catches real threats without overwhelming you with false alarms, then ZeroPath is worth a look.

Why I Picked Zeropath

I picked ZeroPath because its AI-native static application security testing (SAST) engine goes beyond pattern matching and understands code context and business logic—so you and your team can trust that findings are meaningful. The tool’s automatic patch generation lets you review or merge suggested fixes directly in pull requests, reducing time spent manually crafting remediation. Its deep discovery of authentication bypasses, IDORs, race conditions and logic flaws means you’re catching vulnerability types many legacy scanners miss.

Zeropath Key Features

In addition to its core SAST capabilities, ZeroPath offers:

• Custom Code Policies: Create natural-language or rule-based policies to flag specific patterns or anti-patterns in your codebase.
• Secrets Detection: Scan for leaked credentials, keys, tokens, or API secrets within repositories and enforce remediation workflows.
• Infrastructure as Code (IaC) Misconfiguration Detection: Analyze IaC templates (e.g., Terraform, CloudFormation) for insecure configurations before deployment.
• Security Intelligence Dashboard: View real-time metrics on vulnerability trends, exploitability scoring (CVSS 4.0), team performance, and compliance status.

Zeropath Integrations

Integrations include GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Jenkins, Slack, Microsoft Teams, and CircleCI.

DerScanner is a static application security testing tool ideal for InfoSec and IT security managers. It integrates dynamic, static, and mobile application security testing to help organizations secure their code while maintaining privacy.

Why I picked DerScanner: It excels in vulnerability detection, offering a unified platform for static, dynamic, and mobile security testing. Its compliance with CWE standards ensures thorough security checks. The tool's ability to scan both proprietary and open-source code makes it versatile for different environments. A user-friendly interface adds to its appeal, making it accessible for various team members.

Standout features & integrations:

Features include efficient scanning of both proprietary and open-source code, compliance with Common Weakness Enumeration standards, and a user-friendly interface that simplifies security processes.

Integrations include Jenkins, Jira, GitHub, GitLab, Bitbucket, Azure DevOps, Slack, Bamboo, CircleCI, and Travis CI.

Aikido Security offers a Static Application Security Testing (SAST) solution aimed at securing code, cloud, and runtime environments. It's designed for developers across industries like FinTech, HealthTech, and startups, focusing on vulnerability detection and compliance support.

Why I picked Aikido Security: Aikido Security specializes in scalable vulnerability detection, ensuring genuine security issues are prioritized. It integrates seamlessly with CI/CD pipelines and IDEs for real-time detection. Users can customize rules to fit their specific needs, and AI-powered one-click fixes simplify the remediation process. Its support for compliance with standards like SOC 2 and ISO further enhances its appeal.

Standout features & integrations:

Features include vulnerability detection that minimizes false alerts, customizability for tailored rule creation, and automated compliance support for standards like SOC 2 and ISO.

Integrations include Azure Pipelines, Jira, GitHub, Bitbucket, GitLab, Slack, Trello, Jenkins, CircleCI, and Travis CI.

QA Wolf is a hybrid platform and service aimed at software teams in industries like fintech, healthcare, and eCommerce. It provides automated end-to-end test coverage for web and mobile applications, enhancing quality assurance and reducing QA costs.

Why I picked QA Wolf: QA Wolf excels in offering unlimited parallel test runs, which is a game-changer for teams looking to speed up their testing processes. The platform's human-verified bug reports help ensure accuracy. Its zero-flake guarantee reduces the chances of flaky tests, making it reliable for consistent testing. The AI-driven test creation and maintenance improve productivity by minimizing the time spent on QA tasks.

Standout features & integrations:

Features include human-verified bug reports that ensure accuracy, a zero-flake guarantee to reduce flaky tests, and AI-driven test creation for improved productivity.

Integrations include GitHub, GitLab, Bitbucket, Slack, Jira, Trello, Asana, CircleCI, Jenkins, Travis CI, and Azure DevOps.

GitHub is a collaborative software development platform widely used by developers across various industries, including healthcare and finance. It offers tools for security, automation, and code management, making it suitable for tasks like DevSecOps and CI/CD.

Why I picked GitHub: GitHub excels in open-source collaboration, providing a platform where developers can work together on projects from anywhere. Its built-in application security tools use AI to quickly identify and address vulnerabilities, which supports its USP. GitHub Actions automate workflows, enhancing efficiency in managing code changes. With GitHub Advanced Security, you gain enterprise-grade security options to protect your codebase.

Standout features & integrations:

Features include GitHub Copilot for AI-assisted coding, GitHub Actions for workflow automation, and Codespaces for instant development environments. These features enhance collaboration and streamline development processes.

Integrations include Slack, Trello, Jira, Visual Studio, Azure DevOps, Google Cloud, AWS, Heroku, Docker, and Kubernetes.

Dynatrace is an all-in-one software intelligence platform used by IT and DevOps teams across various sectors. It provides monitoring and analytics for applications, infrastructure, and user experience, helping teams optimize performance and ensure reliability.

Why I picked Dynatrace: Dynatrace offers real-time observability, making it a top choice for teams needing instant insights into their systems. Its AI-powered root cause analysis helps quickly identify issues, saving you time. The platform's full-stack monitoring covers everything from applications to infrastructure. Additionally, automated deployment and scaling simplify managing complex environments.

Standout features & integrations:

Features include AI-driven root cause analysis that speeds up troubleshooting, full-stack monitoring to cover applications and infrastructure, and automated deployment for simplified management of complex environments.

Integrations include AWS, Azure, Google Cloud, Kubernetes, ServiceNow, Slack, Jira, Microsoft Teams, Ansible, and Puppet.

New Relic is an observability platform tailored for developers, offering monitoring solutions for applications and infrastructure. It's designed for IT teams looking to enhance performance and gain insights through data analysis.

Why I picked New Relic: New Relic excels in real-time observability, providing instant insights into application performance. Its ability to monitor an entire stack in real-time with pre-built dashboards is a key differentiator. The platform supports over 780 integrations, ensuring comprehensive visibility across programming environments. This makes it a versatile tool for troubleshooting and enhancing user experience.

Standout features & integrations:

Features include end-to-end monitoring set up in under five minutes, comprehensive visibility across various programming environments, and actionable insights to proactively troubleshoot issues.

Integrations include AWS, Azure, Google Cloud, Kubernetes, Slack, Jira, PagerDuty, ServiceNow, Splunk, and Datadog.

DeepSource is a static application security testing tool designed for software developers and engineering teams. It focuses on improving code quality and security through automated code reviews and bug detection.

Why I picked DeepSource: DeepSource excels in code quality analysis, offering automated code reviews that catch issues early in the development cycle. Its ability to detect a wide range of code issues, from security vulnerabilities to performance bottlenecks, sets it apart. The platform supports multiple programming languages, making it versatile for diverse codebases. Additionally, its customizable rules allow teams to tailor checks to their specific needs.

Standout features & integrations:

Features include automated code reviews that identify issues early, support for multiple programming languages, and customizable rules that let you tailor checks to your needs.

Integrations include GitHub, GitLab, Bitbucket, Slack, Jira, Trello, Azure DevOps, CircleCI, Jenkins, and Travis CI.