CodeAnt AI

Description

CodeAnt AI is an advanced agentic security platform designed to enhance code security through AI-driven pen testing and code review. It offers a comprehensive suite of tools for code security, quality assurance, and engineering metrics, enabling teams to identify and rectify vulnerabilities efficiently. The platform is trusted by startups and Fortune 100 companies alike for its ability to prevent breaches and enforce coding standards.

CodeAnt AI employs a self-learning threat model that continuously attacks and defends, ensuring that critical data remains secure. It integrates seamlessly with Git platforms like GitHub, GitLab, and Bitbucket, as well as IDEs and CI/CD pipelines, facilitating automated code reviews and security checks. The platform supports various programming languages, including Java, Python, C++, and more.

Pricing is transparent, with a 14-day free trial available without requiring a credit card. Users can unlock high and critical findings upon payment, while low and medium findings are always free. CodeAnt AI also offers detailed remediation guidance and covers the OWASP Top 10 vulnerabilities.

The platform is designed for enterprise scale, allowing deployment on-premises or within AWS, GCP, or Azure environments. It ensures zero data retention, meaning code never leaves the user's infrastructure. CodeAnt AI is SOC 2 Type II and HIPAA compliant, making it suitable for regulated industries.

Overall, CodeAnt AI provides a robust solution for teams looking to enhance their code security and quality, offering both offensive and defensive capabilities to protect against potential threats.

CodeAnt AI's Core Features

• AI Pen Testing

• AI Code Review

• Code Security

• Code Quality

• Dev Metrics

• Autonomous Preventive Security

• Cloud Threat Detection

• Graybox Pentesting

• Dynamic Application Security Testing (DAST)

• Cloud Security Posture Management (CSPM)

• SOC 2 Type II Compliance

• HIPAA Compliance

• Integration with Git Platforms

• Integration with IDEs

• Integration with CI/CD Pipelines

How to use CodeAnt AI?

1. 1

   Configure: Set up integration with your Git platform

2. 2

   Use: Perform AI-driven pen testing and code reviews

3. 3

   Optimize: Analyze results and implement remediation guidance

4. 4

   Deploy: Choose on-premises or cloud deployment options

CodeAnt AI's Use Cases

• AI Pen Testing
• Code Review
• Cloud Security
• Compliance Assurance
• Integration

FAQ from CodeAnt AI

• What is CodeAnt AI?

  CodeAnt AI is an agentic security platform that uses AI for pen testing and code review to enhance code security.

• How does CodeAnt AI pricing work?

  CodeAnt AI offers a 14-day free trial with transparent pricing. High and critical findings are unlocked upon payment.

• Can CodeAnt AI be deployed on-premises?

  Yes, CodeAnt AI can be deployed fully on-premises or within AWS, GCP, or Azure environments.

• Is CodeAnt AI compliant with industry standards?

  Yes, CodeAnt AI is SOC 2 Type II and HIPAA compliant.

• What integrations does CodeAnt AI support?

  CodeAnt AI integrates with GitHub, GitLab, Bitbucket, IDEs, and CI/CD pipelines.

• Does CodeAnt AI retain any data?

  No, CodeAnt AI ensures zero data retention, meaning code never leaves your infrastructure.

• What programming languages does CodeAnt AI support?

  CodeAnt AI supports various languages including Java, Python, C++, and more.

• What is the OWASP Top 10 coverage?

  CodeAnt AI covers the OWASP Top 10 vulnerabilities, providing detailed remediation guidance.