This startup provides an AI-powered service that proactively detects and fixes software vulnerabilities, inspired by Google’s CodeMender. It acts as an automated code guardian for businesses, reducing the risk of security breaches and the need for manual code patching. The service integrates with existing development workflows, offering real-time vulnerability analysis and automated remediation, thereby saving […]
This startup provides an AI-powered service that proactively detects and fixes software vulnerabilities, inspired by Google’s CodeMender. It acts as an automated code guardian for businesses, ensuring their software is secure and compliant. The service integrates with existing development workflows, offering real-time scanning, automated patching, and detailed reporting on security posture. This addresses the growing […]
This startup offers an AI-powered service that proactively detects and fixes software vulnerabilities, inspired by Google’s CodeMender. It acts as an automated code guardian for businesses, ensuring their software is secure and compliant. The service would integrate with existing development workflows, providing real-time security analysis and automated patching, thereby reducing the risk of data breaches […]
This startup provides a service that helps developers and organizations implement robust guardrails for AI-generated code. It addresses the concern that developers are not just rubber stamps for AI code suggestions, but need to ensure the code is secure, efficient, and adheres to best practices. AI Guardrail will offer tools and services to automatically scan, […]
LegacyLift addresses the critical challenge faced by enterprises with aging software infrastructure: maintaining, securing, and evolving decades-old codebases. Inspired by the need to modernize 25-year-old kernel drivers and the desire to eliminate unnecessary code formatting, this platform leverages advanced AI (like Claude Code) to analyze existing legacy code. It identifies outdated patterns, security vulnerabilities (such […]
