Best Code Security Tools for TypeScript

Aikido is the all-in-one security platform for development teams to secure their complete stack, from code to cloud. Aikido centralizes all code and cloud security scanners in one place. Aikido offers a range of powerful scanners including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning. Aikido integrates AI-powered auto-fixing features, reducing manual work by automatically generating pull requests to resolve vulnerabilities and security issues. It also provides customizable alerts, real-time vulnerability monitoring, and runtime protection, enabling teams to secure their applications and infrastructure seamlessly.

Security Solutions for Your DevOps Process Automate scanning your code to find and fix vulnerabilities. Kiuwan Code Security is compliant with the strictest security standards, such OWASP or CWE. It integrates with top DevOps tools and covers all important languages. Static application security testing and source analysis are both effective, and affordable solutions for all sizes of teams. Kiuwan provides a wide range of essential functionality that can be integrated into your internal development infrastructure. Quick vulnerability detection: Simple and quick setup. You can scan your area and receive results in minutes. DevOps Approach to Code Security: Integrate Kiuwan into your Ci/CD/DevOps Pipeline to automate your security process. Flexible Licensing Options. There are many options. One-time scans and continuous scanning. Kiuwan also offers On-Premise or Saas models.

SonarQube Server serves as a self-hosted solution for ongoing code quality assessment, enabling development teams to detect and address bugs, vulnerabilities, and code issues in real time. It delivers automated static analysis across multiple programming languages, ensuring that the highest standards of quality and security are upheld throughout the software development process. Additionally, SonarQube Server integrates effortlessly with current CI/CD workflows, providing options for both on-premise and cloud deployments. Equipped with sophisticated reporting capabilities, it assists teams in managing technical debt, monitoring progress, and maintaining coding standards. This platform is particularly well-suited for organizations desiring comprehensive oversight of their code quality and security while maintaining high performance levels. Furthermore, SonarQube fosters a culture of continuous improvement within development teams, encouraging proactive measures to enhance code integrity over time.

Backslash Security is the governance and visibility platform built for organizations where AI coding tools are already part of how software gets built. GitHub Copilot, Cursor, Windsurf, Claude Code, and Gemini CLI have fundamentally changed the development lifecycle — and the security controls most organizations rely on were not designed for this environment. Backslash provides a comprehensive AI coding tool inventory and policy enforcement across the full AI coding spectrum, giving security teams visibility into every active tool and the risk introduced before it reaches production. This includes vibe coding security — risk detection purpose-built for vulnerability patterns in AI-generated code that traditional scanners are not equipped to catch. As AI coding agents grow more capable, they increasingly operate with access to external services, internal data, and organizational infrastructure through MCP servers. Over-permissioned agents and misconfigured MCP connections create data leakage pathways — exposing sensitive organizational data to AI models without security team awareness or enforcement controls. These are active exposure points, not theoretical risks. Backslash addresses this directly. The platform maps every MCP server connection, identifies over-permissioned AI agent configurations, and enforces least-privilege access before data leakage occurs. Security teams gain full visibility into what AI agents can access and where permissions exceed what the task requires. For security leaders governing an environment that moved faster than their controls, Backslash is the missing layer — built from the ground up for AI-native development, not retrofitted from a previous generation of tooling.

Flawnter automates static application security testing to detect hidden security bugs and quality issues at the source. Flawnter is a great alternative to manual code review. It can speed up the process and find bugs you may not have noticed. You can either create your own extensions for Flawnter or use existing ones. Extensions allow you to test more bugs and expand your testing coverage. Extensions are easy and allow you to access Flawnter functionality. Flawnter has a simple and flexible pricing structure that makes it affordable for all sizes of organizations to improve their application code security. Other options are also available.

Codacy is an end-to-end DevSecOps platform designed to enforce code quality, security, and compliance across modern development workflows. It integrates seamlessly with IDEs, repositories, and CI/CD pipelines to provide continuous analysis and real-time feedback. The platform performs static and dynamic testing, dependency scanning, and infrastructure checks to identify vulnerabilities early and throughout the software lifecycle. Codacy’s AI Guardrails feature ensures that both human-written and AI-generated code meet organizational standards by detecting risks and automatically fixing issues. It also offers automated pull request reviews, quality metrics, and test coverage tracking to improve development efficiency. Centralized policies allow organizations to maintain consistent standards across teams and projects. With support for multiple programming languages and easy integration into existing workflows, Codacy simplifies secure coding practices. It helps teams reduce manual review effort while improving code reliability and maintainability. By combining security, quality, and AI protection, Codacy empowers teams to ship faster with confidence.

Enhance the quality of your code by adopting healthier coding practices and refining your code review process. Codecov offers a suite of integrated tools designed to organize, merge, archive, and compare coverage reports seamlessly. This service is free for open-source projects, with paid plans beginning at just $10 per user each month. It supports multiple programming languages, including Ruby, Python, C++, and JavaScript, and can be effortlessly integrated into any continuous integration (CI) workflow without the need for extensive setup. The platform features automatic merging of reports across all CI systems and languages into a unified document. Users can receive tailored status updates on various coverage metrics and review reports organized by project, folder, and test type, such as unit or integration tests. Additionally, detailed comments on the coverage reports are directly included in your pull requests. Committed to safeguarding your data and systems, Codecov holds SOC 2 Type II certification, which verifies that an independent third party has evaluated and confirmed their security practices. By utilizing these tools, teams can significantly increase code quality and streamline their development processes.

Sourcery serves as an AI-driven automated code review tool and coding assistant that aims to enhance the quality of code, identify bugs and security vulnerabilities early on, and ensure uniform standards across various projects for developers and engineering teams. It seamlessly integrates with widely-used development platforms like GitHub, GitLab, and integrated development environments (IDEs) such as VS Code and JetBrains, offering immediate, actionable insights on pull requests and in-code edits instead of relying primarily on conventional peer review processes. By leveraging a blend of large language model capabilities and static analysis, Sourcery evaluates code diffs to provide concise summaries, detailed line-by-line recommendations, overarching feedback, and visual representations that clarify suggested modifications, striving to achieve a review standard akin to that of a fellow developer. Within the IDE, it acts as an instant pair programming assistant that highlights possible enhancements, facilitates one-click application of recommendations, and includes an AI chat feature for further support, making it a versatile tool for developers looking to refine their coding practices. Additionally, Sourcery's real-time feedback mechanism fosters a collaborative coding environment, enabling teams to work more efficiently and effectively together.

Enhance your productivity by ensuring only high-quality code is released, as SonarQube Cloud (previously known as SonarCloud) seamlessly evaluates branches and enriches pull requests with insights. Identify subtle bugs to avoid unpredictable behavior that could affect users and address security vulnerabilities that threaten your application while gaining knowledge of application security through the Security Hotspots feature. Within moments, you can begin using the platform right where your code resides, benefiting from immediate access to the most current features and updates. Project dashboards provide vital information on code quality and readiness for release, keeping both teams and stakeholders in the loop. Showcase project badges to demonstrate your commitment to excellence within your communities. Code quality and security are essential across your entire technology stack, encompassing both front-end and back-end development. That’s why we support a wide range of 24 programming languages, including Python, Java, C++, and many more. The demand for transparency in coding practices is on the rise, and we invite you to be a part of this movement; it's completely free for open-source projects, making it an accessible opportunity for all developers! Plus, by participating, you contribute to a larger community dedicated to improving software quality.

User-friendly and requiring no setup, simply download from your preferred IDE marketplace and keep coding while SonarQube for IDE (previously known as SonarLint) handles the rest. Unlike your existing linting solutions that often involve additional complexity, such as specific tools for different languages or extensive configuration processes, SonarQube for IDE offers a unified approach to tackling your Code Quality and Code Security challenges. It comes equipped with a vast array of language-specific rules designed to detect Bugs, Code Smells, and Security Vulnerabilities directly within your IDE as you write code. Whether it’s identifying risky regex patterns or ensuring compliance with coding standards, SonarQube for IDE acts as a reliable partner in your quest for flawless code. With this smart tool at your disposal, any errors you make are kept within your view, enabling you to comprehend, swiftly correct, and learn from them effectively, which ultimately enhances your coding skills over time. In this way, SonarQube for IDE not only helps maintain code integrity but also fosters continuous improvement in your development process.

Coverity Static Analysis serves as an all-encompassing solution for code scanning, assisting both developers and security teams in producing superior software that meets security, functional safety, and various industry standards. It efficiently detects intricate defects within large codebases, pinpointing and addressing quality and security concerns that may arise across multiple files and libraries. Coverity ensures adherence to numerous standards such as OWASP Top 10, CWE Top 25, MISRA, and CERT C/C++/Java, and offers comprehensive reports that help in monitoring and prioritizing issues. By utilizing the Code Sight™ IDE plugin, developers benefit from immediate feedback, including insights on CWE and instructions for remediation, directly integrated into their development settings, which helps to weave security practices seamlessly into the software development lifecycle while maintaining developer productivity. This tool not only contributes to enhanced code integrity but also fosters a culture of continuous improvement in software security practices.

CodeSonar uses a unified dataflow with symbolic execution analysis to examine the entire application's computations. CodeSonar's static analyze engine is extremely deep and does not rely on pattern matching or similar approximations. It finds 3-5 times more defects than other static analysis tools. SAST tools are able to be easily integrated into any team's software development process, unlike many other tools such as testing tools and compilers. SAST technologies such as CodeSonar attach to existing build environments to add analysis information. CodeSonar works in the same way as a compiler. However, CodeSonar creates an abstraction model of your entire program, instead of creating object codes. CodeSonar's symbolic execution engine analyzes the derived model and makes connections between them.