CodeAnt AI

• AI powered line by line code review for pull requests
• Full codebase context for more relevant security and quality findings
• AI SAST scanning for source code, infrastructure, dependencies, and secrets
• Automated security and code quality checks across pull requests
• AI generated pull request summaries and suggested fixes
• IDE integrations for VS Code, Cursor, JetBrains, Visual Studio, and Windsurf
• CLI support for local development, CI pipelines, and git hooks
• Cloud security checks for AWS, Google Cloud, and Microsoft Azure
• AI powered penetration testing with automated exploit agents
• Integration with GitHub, GitLab, Bitbucket, and Azure DevOps

CodeAnt AI is an AI-powered code review and application security platform built for software development and security teams. It helps organizations review code, identify vulnerabilities, improve software quality, and validate application security throughout the development lifecycle. The platform is designed for developers, engineering managers, application security teams, DevSecOps professionals, and organizations managing large or rapidly changing codebases.

CodeAnt AI connects with popular development platforms such as GitHub, GitLab, Bitbucket, and Azure DevOps. After integration, it analyzes pull requests and codebases to identify code quality problems, security weaknesses, exposed secrets, vulnerable dependencies, infrastructure configuration risks, and other issues. Findings can be presented directly within development workflows, allowing developers to investigate problems without switching between multiple security tools.

The platform also includes AI-powered remediation capabilities that provide suggested fixes for detected issues. Teams can establish CI/CD quality gates to prevent selected problems from progressing toward production. IDE integrations extend security and code analysis into development environments, while dashboards provide broader visibility into vulnerabilities, code quality, engineering metrics, and remediation activity.

CodeAnt AI has expanded beyond defensive code analysis with AI penetration testing capabilities. Its testing workflows can examine applications using black-box, white-box, and gray-box approaches, helping teams identify exploitable weaknesses in running applications and code.

A key differentiator is the combination of AI code review, code security, software quality analysis, and penetration testing within one platform. Deployment options include CodeAnt’s hosted cloud as well as customer cloud and air-gapped environments for organizations requiring tighter infrastructure control.

CodeAnt AI offers a free trial alongside paid products for code review and security. Its platform is intended for teams that want to combine development quality checks and application security without maintaining several disconnected tools.

Frequently Asked Questions

What is CodeAnt AI used for?

CodeAnt AI is used to review source code, detect security vulnerabilities, identify code quality problems, and perform AI-assisted application security testing. It is designed to integrate these activities into software development and DevSecOps workflows.

Is CodeAnt AI free to use?

CodeAnt AI offers a 14-day free trial with premium features and does not require a credit card to start. Paid subscriptions are available for teams that need continued access to code review, security scanning, and related capabilities.

How much does CodeAnt AI cost?

CodeAnt AI pricing starts at $20 per user per month for Code Security, while AI Code Review starts at $24 per user per month on annual billing. Enterprise plans use custom pricing based on organizational requirements.

How does CodeAnt AI review code?

CodeAnt AI connects to a supported source control platform and analyzes repositories and pull requests for quality and security issues. It can identify specific problematic code and provide remediation guidance within the development workflow.

Who should use CodeAnt AI?

CodeAnt AI is intended for software developers, engineering teams, application security professionals, and DevSecOps organizations. It can be particularly useful for teams that need code review and application security checks across multiple repositories and development platforms.

What makes CodeAnt AI different from other code review tools?

CodeAnt AI combines AI code review, code security, quality analysis, and AI penetration testing in one platform. It also supports cloud, customer-cloud, and air-gapped deployment models, giving security-conscious organizations additional deployment flexibility.

Does CodeAnt AI support GitHub and GitLab?

Yes, CodeAnt AI supports GitHub and GitLab along with Bitbucket and Azure DevOps. Teams can connect their repositories so pull requests and code changes can be analyzed as part of their existing development process.

Can CodeAnt AI perform penetration testing?

Yes, CodeAnt AI provides AI-powered penetration testing using black-box, white-box, and gray-box approaches. Its security testing can identify exploitable application weaknesses and provide reports and remediation-oriented findings.

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