TerraTrue is a DevSecOps platform that automates privacy, security, and AI risk reviews by integrating with existing tools like JIRA to provide real-time alerts for high-risk activities. The platform enables organizations to conduct scalable privacy and security assessments before product launches, ensuring compliance and reducing third-party risks.
Funding
$15M 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
Existing DevSecOps solutions often lack seamless integration with developers' existing workflows, leading to delayed privacy, security, and AI risk assessments. This can result in increased compliance costs, potential security vulnerabilities, and delayed product launches.
Solution
TerraTrue is a DevSecOps platform that automates privacy, security, and AI risk reviews by integrating directly into existing development tools like JIRA. The platform provides real-time alerts for high-risk activities, enabling organizations to conduct scalable privacy and security assessments throughout the development lifecycle. By centralizing risk management and connecting it to the development process, TerraTrue empowers teams to proactively address potential issues before product launches, ensuring compliance and reducing third-party risks. The platform's no-code workflows allow for the automation and scaling of reviews for various frameworks and functions, while also mapping and cataloging existing data to monitor for changes in data usage.
Target Audience
TerraTrue is designed for organizations that prioritize privacy and security, including those in regulated industries, as well as software development teams looking to integrate security into their development lifecycle.
Features
- Integration with JIRA and other popular development tools for seamless workflow integration
- Real-time alerts for high-risk activities, enabling immediate mitigation
- No-code workflows for automating and scaling privacy, security, and AI risk reviews
- Centralized data mapping and cataloging for comprehensive risk management
- Automated assessments, ROPAs (Records of Processing Activities), and data maps
- Third-party risk protection through integrated security measures