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TerraTrue is AI governance and privacy software that works at design time. Privacy reviews, security reviews, third-party risk assessments, and AI risk reviews, all starting from the documents your teams already write. Most tools in this category work by discovery. They scan your systems and flag what looks risky, which means they only see what already exists. By the time a data flow is discoverable, it is already processing real people's data. TerraTrue enters earlier. The review starts while the decision is still open, so risk surfaces when changing course is still a conversation rather than a re-architecture. What teams use TerraTrue for: - Privacy impact assessments, including DPIAs, LIAs, and transfer impact assessments - Privacy reviews for new products, features, and data uses - Security reviews and product launch review - Third-party and vendor risk assessments - AI risk reviews for models, agents, and AI features - GDPR, CCPA, and US state privacy law assessments - Data mapping and an inventory that updates from real reviews TerraTrue reads specs in Google Docs and Notion, tickets in Jira, contracts, and vendor documentation. It extracts the data types, third parties, and AI components, applies your own threshold, assigns the right owner, and drafts the assessment. Your reviewer opens a decision instead of a blank form, and every step keeps a record pointing back to the source. Privacy, security, third-party risk, and AI governance run through one intake, covering products and features as well as vendors, partnerships, acquisitions, internal tools, and internal AI use cases. Built for lean teams. A privacy team of one to three is being asked to review more than a manual process can carry. Founded in 2018 by former Snap executives who built these functions from scratch. Roku, Jam City, Lyft, Elastic and Greenlight run their reviews on TerraTrue.

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11 people are employed at TerraTrue.

TerraTrue is based in San Francisco, California.

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