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.
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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.
- CategoryAI Cybersecurity Tools
- Pricing ModelFreemium
- DeploymentCloud, On-Premises
- PlatformsGitHub, GitLab, Bitbucket
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?
Configure: Set up integration with your Git platform
Use: Perform AI-driven pen testing and code reviews
Optimize: Analyze results and implement remediation guidance
Deploy: Choose on-premises or cloud deployment options
CodeAnt AI's Use Cases
- AI Pen Testing
- Code Review
- Cloud Security
- Compliance Assurance
- Integration
