Pervaziv AI Launches AI Code Review 2.0 for GitHub Security Scanning
New release integrates automated security scanning, AI-powered remediation, and GitHub-native workflows for enterprise development teams.
Pervaziv AI announced the release of AI Code Review 2.0, a new GitHub Action designed to automate repository-wide security scanning while integrating directly into developer workflows.
The release expands the capabilities of the company’s AI Code Review platform, following the launch of AI Code Review 1.0, a GitHub App introduced on the GitHub Marketplace on February 13, 2026.
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Together, the two products create a unified DevSecOps workflow that combines AI-powered code review, automated vulnerability detection, and developer-friendly remediation directly within GitHub. The new GitHub Action is bundled with Pervaziv AI’s DevSecOps Suite version 2.8 and is available to organizations using Premium and higher subscription tiers.
Addressing Enterprise DevSecOps Workflow Challenges
Modern software development teams often face fragmented security workflows that require switching between multiple tools for code scanning, vulnerability management, and remediation.
Pervaziv AI developed AI Code Review 2.0 to reduce that friction by bringing security insights directly into GitHub while still providing deeper analysis in its DevSecOps platform.
The GitHub Action scans the entire repository for vulnerabilities and publishes results within GitHub Actions and the Security tab, while generating a comprehensive security report inside the Pervaziv AI DevSecOps Console.
“Security should not slow down development,” said Anoop Jaishankar, Founder and CEO of Pervaziv AI. “Our goal with AI Code Review 2.0 is to bring intelligent security insights directly into developer workflows while giving security teams the deeper analysis they need to manage risk across the entire codebase.”
Built from Real Developer and Security Team Insights
Following the launch of AI Code Review 1.0 earlier this year, Pervaziv AI analyzed how enterprise developers and security analysts interacted with code security tools within its DevSecOps platform.
Using analytics and telemetry from the Pervaziv AI DevSecOps Console, the company studied common pain points in code review and vulnerability management workflows. These insights guided the development of AI Code Review 2.0, which focuses on simplifying security operations while minimizing context switching for developers.
The result is a GitHub-native security automation workflow that combines continuous scanning, AI-powered remediation suggestions, and integrated reporting.
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