Almanax is an AI-powered application security tool that uses large language models to detect, triage, and patch security vulnerabilities in codebases. The platform performs static code analysis through manual scans and continuous pull request reviews integrated into CI/CD workflows. The tool indexes codebases and navigates code to identify security issues using specialized models for different ecosystems including EVM, Solana, Stellar, and Aptos. It provides contextual analysis by accessing custom documentation and real-time threat intelligence from the internet. Almanax integrates with GitHub to automatically review pull requests and provide security feedback directly in the development workflow. Users can define custom security rules and detectors using natural language specifications. The platform performs reachability analysis on third-party security alerts to validate their applicability to the specific codebase. The system learns from dismissed false positives to reduce noise in future scans. When vulnerabilities are detected, Almanax generates committable patch suggestions and can create pull request drafts with remediation code. All code analysis occurs in isolated sandbox environments and is deleted after processing. Enterprise features include deployment on customer infrastructure, organizational role-based access controls, and support for multiple programming languages. The platform does not use customer code for AI model training.