Table of contents

• Graphite Agent: AI-powered code review with a focus on security
• Greptile: Context-aware AI code review with enterprise-grade security
• Bugdar: AI-augmented secure code review for GitHub pull requests
• Panto AI: AI-powered code review with a focus on security
• Conclusion
• FAQ

Graphite Agent: AI-powered code review with a focus on security

Graphite Agent leverages large language models from Anthropic and OpenAI to provide contextual, codebase-aware feedback. It integrates directly with GitHub, automating code critiques and identifying critical bugs, security vulnerabilities, and code quality issues before they reach production.

Key security features of Graphite Agent include:

• Customizable security rules: Teams can define specific security patterns to be flagged during code reviews, ensuring alignment with organizational standards.
• Real-time security feedback: Graphite Agent provides immediate alerts for potential security flaws, allowing developers to address issues before human review.
• Data encryption and privacy: All data is encrypted at rest and in transit, adhering to SOC 2 compliance standards. Additionally, Graphite Agent employs Anthropic Claude AI, which does not use customer data for model training, ensuring robust privacy protection.
• Low false-positive rate: Benchmark tests indicate that teams using Graphite Agent catch more critical issues with fewer false positives compared to competing solutions.

Greptile: Context-aware AI code review with enterprise-grade security

Greptile offers an AI-driven code review tool that understands your entire codebase, providing automated pull request (PR) reviews that catch bugs faster and improve code quality. It supports multiple programming languages and integrates seamlessly with GitHub and GitLab.

Key security features of Greptile include:

• SOC 2 Type II compliance: Greptile undergoes regular security assessments and audits to ensure the confidentiality and integrity of customer data.
• Data encryption: All data is encrypted at rest and in transit, safeguarding sensitive information during AI inference and storage.
• Self-hosting options: For organizations with stringent data privacy requirements, Greptile offers self-hosted solutions, allowing teams to maintain full control over their infrastructure and data.
• Customizable review focus: Teams can specify exactly what changes Greptile should comment on, reducing noise and focusing on critical issues.

Bugdar: AI-augmented secure code review for GitHub pull requests

Bugdar is an AI-augmented code review system that integrates seamlessly into GitHub pull requests, providing near real-time, context-aware vulnerability analysis. It leverages fine-tunable large language models and Retrieval Augmented Generation (RAG) to deliver project-specific, actionable feedback.

Key security features of Bugdar include:

• Context-aware analysis: Bugdar provides feedback that aligns with each codebase's unique requirements and developer practices, ensuring relevant and actionable insights.
• Multi-language support: Bugdar supports multiple programming languages, including Solidity, Move, Rust, and Python, catering to diverse development environments.
• High efficiency: Bugdar processes an average of 30 lines of code per second, significantly faster than manual reviews, which could take hours per pull request.

Panto AI: AI-powered code review with a focus on security

Panto AI offers an AI code review tool that emphasizes security, providing features like static application security testing (SAST), secret scanning, infrastructure-as-code (IaC) security, and code quality checks. It integrates with various development environments to offer real-time security insights.

Key security features of Panto AI include:

• Comprehensive security coverage: Panto AI covers a wide range of security aspects, including SAST, IaC security, and secret scanning, ensuring comprehensive protection throughout the development lifecycle.
• Customizable security rules: Teams can define specific security patterns to be flagged during code reviews, ensuring alignment with organizational standards.
• Real-time security feedback: Panto AI provides immediate alerts for potential security flaws, allowing developers to address issues before human review.

Conclusion

Incorporating AI-powered code review tools like Graphite Agent, Greptile, Bugdar, and Panto AI into your development workflow can significantly enhance code security and quality. By automating the detection of vulnerabilities and enforcing coding standards, these tools help developers identify and address issues early in the development process, leading to more secure and reliable software.

FAQ

What are the best AI code review security scanners?

The leading AI code review security scanners in 2025 include Graphite Agent, which provides codebase-aware security feedback with low false positives; Greptile, offering SOC 2 Type II compliance and self-hosting options; Bugdar, which specializes in context-aware vulnerability analysis; and Panto AI, focusing on comprehensive SAST and secret scanning.

How do AI security scanners differ from traditional static analysis tools?

AI security scanners like Graphite Agent use large language models to understand code context, patterns, and your entire codebase, enabling them to catch complex logical vulnerabilities and security issues that traditional static analysis tools might miss. Traditional tools rely on predefined rules and pattern matching, while AI-powered scanners can identify novel security threats and provide context-aware recommendations tailored to your specific codebase architecture and coding standards.

Are AI code review security scanners compliant with data privacy regulations?

Most reputable AI security scanners prioritize data privacy and compliance. Tools like Graphite Agent and Greptile offer SOC 2 compliance, data encryption at rest and in transit, and policies that prevent using customer code for model training. However, it's important to review each tool's specific privacy policies and ensure they meet your organization's compliance requirements, especially for highly regulated industries.