Best AI tools for< Secure Code Review >

PullRequest is an AI-powered code review as a service platform that offers on-demand code review from expert engineers enhanced by AI. It supports all languages and frameworks, helping development teams of any size ship better, more secure code faster through AI-assisted code reviews. PullRequest integrates with popular version control platforms like GitHub, GitLab, Bitbucket, and Azure DevOps, providing valuable knowledge sharing with senior engineers to improve code quality and security. The platform ensures code safety and security by adhering to best practices, strict procedures, and employing reviewers based in the US, the UK, or Canada.

Codiga is a static code analysis tool that helps developers write clean, safe, and secure code. It works in real-time in your IDE and CI/CD pipelines, and it can be customized to meet your specific needs. Codiga supports a wide range of languages and frameworks, and it integrates with popular tools like GitHub, GitLab, and Bitbucket.

GitHub is the world's leading AI-powered developer platform that offers a wide range of tools and features to enhance the developer experience. It provides automation for workflows, security features to find and fix vulnerabilities, instant development environments, AI-powered code assistance with GitHub Copilot, code review and management capabilities, issue tracking, collaboration tools, and more. GitHub empowers developers to accelerate innovation and collaborate efficiently, making it a go-to platform for individuals, teams, and organizations in the software development industry.

DryRun Security is an AI-powered security tool designed to provide developers with security context and analysis for code changes in real-time. It offers a suite of analyzers to identify risky code changes, such as SQL injection, command injection, and sensitive file modifications. The tool integrates seamlessly with GitHub repositories, ensuring developers receive security feedback before merging code changes. DryRun Security aims to empower developers to write secure code efficiently and effectively.

Second is an AI-native enterprise codebase maintenance platform that offers automated migrations and upgrades for software engineering teams. It provides a seamless process for handling code migrations and upgrades, allowing teams to focus on building innovative software. With AI planning and execution agents, Second streamlines the code transformation process, enabling faster project completion and enhanced codebase intelligence. The platform prioritizes security and compliance, ensuring data protection and operational effectiveness. Second aims to revolutionize software engineering by automating routine tasks and empowering human engineers to drive productivity and innovation.

Pixeebot is an automated product security engineer that helps developers fix vulnerabilities, harden code, squash bugs, and improve code quality. It integrates with your existing workflow and can be used locally via CLI or through the GitHub app. Pixeebot is powered by the open source Codemodder framework, which allows you to build your own custom codemods.

VIDOC is an AI-powered security engineer that automates code review and penetration testing. It continuously scans and reviews code to detect and fix security issues, helping developers deliver secure software faster. VIDOC is easy to use, requiring only two lines of code to be added to a GitHub Actions workflow. It then takes care of the rest, providing developers with a tailored code solution to fix any issues found.

CodeMate is an AI pair programmer tool designed to help developers write error-free code faster and more efficiently. It offers features such as code analysis, debugging assistance, code refactoring, and code review using advanced AI algorithms and machine learning techniques. CodeMate supports various programming languages and provides a secure environment for developers to work on their projects. With a user-friendly interface and collaborative features, CodeMate aims to streamline the coding process and enhance productivity for individual developers, teams, and enterprises.

Glog is an AI application focused on making software more secure by providing remediation advice for security vulnerabilities in software code based on context. It is capable of automatically fixing vulnerabilities, thus reducing security risks and protecting against cyber attacks. The platform utilizes machine learning and AI to enhance software security and agility, ensuring system reliability, integrity, and safety.

Codacy is an AI-powered code quality and security platform designed for developers to efficiently optimize and secure their code. It offers a unified set of AppSec tools, data-driven insights, and seamless integrations across the software development lifecycle. Codacy helps teams monitor and resolve security issues at scale, improve code quality, and prevent breaking changes. With AI suggested fixes and effortless code quality monitoring, Codacy is a valuable tool for businesses and developers alike.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

Snyk is a developer security platform powered by DeepCode AI, offering solutions for application security, software supply chain security, and secure AI-generated code. It provides comprehensive vulnerability data, license compliance management, and self-service security education. Snyk integrates AI models trained on security-specific data to secure applications and manage tech debt effectively. The platform ensures developer-first security with one-click security fixes and AI-powered recommendations, enhancing productivity while maintaining security standards.

Qwiet AI is a code vulnerability detection platform that accelerates secure coding by uncovering, prioritizing, and generating fixes for top vulnerabilities with a single scan. It offers features such as AI-enhanced SAST, contextual SCA, AI AutoFix, Container Security, SBOM, and Secrets detection. Qwiet AI helps InfoSec teams in companies to accurately pinpoint and autofix risks in their code, reducing false positives and remediation time. The platform provides a unified vulnerability dashboard, prioritizes risks, and offers tailored fix suggestions based on the full context of the code.

GitLab is a comprehensive AI-powered DevSecOps platform that balances speed and security in a single platform. It automates software delivery, boosts productivity, and secures the end-to-end software supply chain. GitLab simplifies the toolchain by providing all essential DevSecOps tools in one place, accelerates software delivery through automation and AI-powered workflows, and integrates security seamlessly. It allows users to deploy anywhere without cloud vendor lock-in, offering value stream management, analytics, and insights to accelerate coding. GitLab is trusted by industry leaders for building mission-critical software and is recognized as a Leader in DevOps Platforms by various industry analysts.

Start Left® Security is an AI-driven application security posture management platform that empowers product teams to automate secure-by-design software from people to cloud. The platform integrates security into every facet of the organization, offering a unified solution that aligns with business goals, fosters continuous improvement, and drives innovation. Start Left® Security provides a gamified DevSecOps experience with comprehensive security capabilities like SCA, SBOM, SAST, DAST, Container Security, IaC security, ASPM, and more.

Roost.ai is an AI-driven testing copilot that offers automated test case generation using Large Language Models (LLMs). It helps in building reliable software by providing 100% test coverage, detecting static vulnerabilities, and freeing up developer time. Roost.ai is trusted by global financial institutions and industry leaders for its ability to elevate test accuracy and coverage through generative AI technology.

Veryfi is an OCR API tool for invoice and receipt data extraction. It offers fast, accurate, and secure document capture and data extraction on any type of document. Veryfi empowers users to process documents efficiently, automate manual data entry, and implement AI into various business processes. The tool is designed to streamline workflows, enhance accuracy, and unlock new levels of efficiency across industries such as finance, insurance, and more.

Pulumi is an AI-powered infrastructure as code platform that allows engineers to manage cloud infrastructure using various programming languages like Node.js, Python, Go, .NET, Java, and YAML. It offers capabilities such as generative AI-powered cloud management, security enforcement through policies, and automated deployment workflows. Pulumi Insights enables faster infrastructure code authoring through AI, while Pulumi Cloud provides managed services for infrastructure as code and secrets management. The platform is praised for its ease of use, developer experience, and ability to centralize and secure secrets management.

Blaze is a no-code platform that enables teams to build web applications and internal tools without writing code. It offers a variety of features, including a visual creator, prebuilt integrations, user permissions, and enterprise security. Blaze is trusted by Fortune 500s and healthcare organizations and is HIPAA compliant.

BotX is a No-Code AI Platform that enables users to automate and deploy generative AI workflows, chatbots, and solutions. It offers production-ready AI systems to increase productivity, build AI agents and chatbots, automate workflows, create or process documents, and connect models effortlessly. With a focus on efficiency and reliability, BotX aims to simplify AI implementation for businesses of all sizes.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

LLM-PLSE-paper is a repository focused on the applications of Large Language Models (LLMs) in Programming Language and Software Engineering (PL/SE) domains. It covers a wide range of topics including bug detection, specification inference and verification, code generation, fuzzing and testing, code model and reasoning, code understanding, IDE technologies, prompting for reasoning tasks, and agent/tool usage and planning. The repository provides a comprehensive collection of research papers, benchmarks, empirical studies, and frameworks related to the capabilities of LLMs in various PL/SE tasks.

TheCodersGig is an AI-powered open-source social network platform for developers, facilitating seamless connection and collaboration. It features an integrated utility marketplace for creating plugins easily, automating backend development with scalable code. The user-friendly interface supports API integration, data models, databases, authentication, and authorization. The platform's architecture includes frontend, backend, AI services, database, marketplace, security, and DevOps layers, enabling customization and diverse integrations. Key components encompass technologies like React.js, Node.js, Python-based AI frameworks, SQL/NoSQL databases, payment gateways, security protocols, and DevOps tools for automation and scalability.

Yet Another Chatbot is a sophisticated multimodal chat interface powered by advanced AI models and equipped with a variety of tools. This chatbot can search and browse the web in real-time, query Wikipedia for information, perform news and map searches, execute Python code, compose long-form articles mixing text and images, generate, search, and compare images, analyze documents and images, search and download arXiv papers, save conversations as text and audio files, manage checklists, and track personal improvements. It offers tools for web interaction, Wikipedia search, Python scripting, content management, image handling, arXiv integration, conversation generation, file management, personal improvement, and checklist management.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

Azure OpenAI Service is a central capability with Azure API Management, providing guidance and tools for organizations to implement Azure OpenAI in a production environment with an emphasis on cost control, secure access, and usage monitoring. It includes infrastructure-as-code templates, CI/CD pipelines, secure access management, usage monitoring, load balancing, streaming requests, and end-to-end samples like ChatApp and Azure Dashboards.

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