The startup offers a software security platform that automatically maps the flow of sensitive data within cloud applications, ensuring secure handling from applications to data sinks. By providing version-specific insights, developers can pinpoint vulnerabilities down to individual lines of code, enhancing application security and compliance.
Funding
$58.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional application security tools often produce a high volume of false positives and lack the ability to automatically remediate vulnerabilities, leading to developer frustration and delayed release cycles. Existing solutions also struggle to provide a comprehensive view of security risks across custom code, open-source software, containers, and secrets within cloud applications.
Solution
Qwiet AI offers a software security platform that leverages AI agents and a patented Code Property Graph (CPG) to provide accurate vulnerability detection and automated remediation. The platform performs static application security testing (SAST), software composition analysis (SCA), and container security scanning in a single pass, significantly reducing false positives by prioritizing reachable and exploitable vulnerabilities. Qwiet AI's AI AutoFix feature generates context-aware code fixes, enabling developers to resolve vulnerabilities quickly and maintain code quality. The platform integrates seamlessly into existing CI/CD pipelines and provides a unified vulnerability dashboard for comprehensive risk visibility.
Target Audience
Qwiet AI targets DevSecOps and development teams, security engineers, and application security professionals seeking to improve code security, reduce remediation time, and accelerate release cycles.
Features
- AI-powered static application security testing (SAST) with a 90% reduction in false positives
- Intelligent software composition analysis (SCA) that identifies reachable vulnerabilities in open-source libraries
- Automated code remediation with AI AutoFix, generating context-aware fixes in minutes
- Comprehensive container security scanning to identify vulnerabilities in container images
- Secrets detection to prevent accidental exposure of sensitive information
- Software Bill of Materials (SBOM) generation for complete visibility into software components
- Integration with CI/CD pipelines, code repositories, and build tools for seamless security testing
- Patented Code Property Graph (CPG) technology for superior data flow and control flow analysis
- Machine learning models trained on billions of lines of secure code for unmatched precision