Version updated for https://github.com/harekrishnarai/flowlyt to version v1.0.6. This action is used across all versions by 0 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary Flowlyt is an AI-powered security analyzer designed to enhance the security of CI/CD pipelines for GitHub Actions and GitLab. It combines traditional pattern matching, Abstract Syntax Tree (AST) analysis, and AI-driven false positive detection to identify vulnerabilities, reduce noise, and improve scan speed and accuracy.

Version updated for https://github.com/harekrishnarai/flowlyt to version v1.0.5. This action is used across all versions by 0 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary Flowlyt is an AI-powered security analyzer designed to enhance the security of CI/CD pipelines in GitHub Actions and GitLab workflows. It automates the detection of vulnerabilities, misconfigurations, and supply chain threats using advanced Abstract Syntax Tree (AST) analysis combined with AI for false positive reduction, context-aware insights, and real-time verification.

Version updated for https://github.com/harekrishnarai/flowlyt to version v1.0.4. This action is used across all versions by 0 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary Flowlyt is an AI-powered security analyzer designed to enhance the security of CI/CD pipelines for GitHub Actions and GitLab CI/CD workflows. It combines traditional static code analysis with AI-driven capabilities, such as false positive detection, context-aware analysis, and real-time vulnerability verification, to identify and mitigate security risks like misconfigurations, secrets exposure, and supply chain vulnerabilities.

Version updated for https://github.com/harekrishnarai/flowlyt to version v1.0.3. This action is used across all versions by 0 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary Flowlyt is an AI-powered security analyzer designed to enhance the security of GitHub Actions and GitLab CI/CD workflows. It automates the detection of vulnerabilities, misconfigurations, and supply chain risks using advanced Abstract Syntax Tree (AST) analysis and AI-enhanced false positive reduction, providing faster scans and more accurate results.

Version updated for https://github.com/harekrishnarai/flowlyt to version v1.0.2. This action is used across all versions by 0 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary Flowlyt is an AI-powered security analyzer designed to enhance the security of CI/CD workflows on GitHub Actions and GitLab CI/CD. It automates the detection of vulnerabilities, reduces false positives using advanced AI models, and provides context-aware analysis to identify security risks such as injection flaws, secrets exposure, and supply chain vulnerabilities.

Version updated for https://github.com/harekrishnarai/flowlyt to version v1.0.0. This action is used across all versions by 0 repositories. Go to the GitHub Marketplace to find the latest changes. Action Summary Flowlyt is an AI-powered security analyzer designed to enhance the security of CI/CD pipelines for GitHub Actions and GitLab workflows. It automates the detection of security vulnerabilities using advanced Abstract Syntax Tree (AST) analysis and AI-driven false positive reduction, delivering faster scans and more accurate results.

Version updated for https://github.com/harekrishnarai/flowlyt to version v0.0.8. This action is used across all versions by 0 repositories. Go to the GitHub Marketplace to find the latest changes. Release notes Full Changelog: https://github.com/harekrishnarai/flowlyt/compare/v0.0.7...v0.0.8

Version updated for https://github.com/harekrishnarai/flowlyt to version v0.0.7. This action is used across all versions by 0 repositories. Go to the GitHub Marketplace to find the latest changes. Release notes Flowlyt v0.0.7 Release Notes Release Date: November 19, 2025 🚀 Highlights 🤖 Advanced AI Enhancements False Positive Reduction Improvements: Major tuning to AST + AI hybrid engine further lowers noise (commit: 6a7b978). Multi-Provider Expansion: Added Perplexity AI provider support with flexible model selection (Llama 3.