The launchpad for privacy, AI, and security reviews - built so compliance happens while the product is still being designed, not the night before it ships.
EXHIBIT A: The review, before it was a meeting. TerraTrue's platform, where privacy questions get answered in the doc instead of in the war room.
Somewhere right now, a product manager is typing a spec in Notion. A new feature, a new data flow, a new way of nudging users. In most companies, that spec will travel a long, quiet road before anyone asks whether it is legal. Months later, a privacy lawyer will read it, frown, and ask for changes that should have been obvious in week one. At companies running TerraTrue, the frown shows up in the doc - while the idea is still cheap to change.
TerraTrue is a San Francisco software company, roughly sixteen people, that sells a single, unfashionable promise: privacy and security reviews that keep pace with how fast modern teams actually move. It automates the whole journey - intake, assessment, approval - across privacy, AI governance, and third-party risk. The pitch is not glamorous. It is, in fact, the most boring problem in software. That is exactly the point.
For most of the last decade, privacy worked like a tollbooth at the end of the highway. Engineers built. Designers shipped. And then, somewhere near the finish line, legal and security teams were handed a finished product and asked to bless it. They rarely could. The data had already been collected the wrong way, stored in the wrong place, shared with the wrong vendor. Fixing it meant rework, and rework meant delay, and delay meant the privacy team became the office villain.
The rules, meanwhile, kept multiplying. GDPR in Europe. CCPA in California. VCDPA, then a dozen more state laws, then the EU AI Act. Each one demanded documentation - data protection impact assessments, records of processing, vendor risk reviews - and most teams answered with spreadsheets and good intentions. It did not scale. It barely worked. And it certainly did not move at the speed of a startup trying to ship weekly.
The irony was hard to miss: the discipline meant to protect users had become the thing teams routed around. Privacy by design was a lovely phrase printed on a lot of slides. Almost nobody had turned it into a working process.
Jad Boutros and Chris Handman did not theorize about this problem. They had lived it. Boutros spent more than a decade on security at Google before becoming Snap's Chief Security Officer. Handman was Snap's General Counsel. Between them, they built the privacy and security programs at one of the most scrutinized consumer apps on earth - the hard way, by hand, while the company grew faster than any process could.
That experience left them with a conviction and a complaint. The conviction: privacy works only when it lives inside the product workflow, triggered automatically the moment a new feature is conceived. The complaint: no software existed to do that. So in 2018 they left Snap to build it, and named the first product, with admirable honesty, "Launch Approval" - the dreaded sign-off meeting, turned into software.
Former CSO at Snap, a decade-plus on security at Google. Engineering degree from McGill, computer science from Stanford. LinkedIn handle: secplusplus.
Former General Counsel at Snap, where he led the legal side of privacy and policy through the company's hyper-growth years.
The founders ran privacy at a company where one bad data flow becomes a headline. They left to make sure the rest of us never get there.
TerraTrue's platform reads less like compliance software and more like a layer that sits inside the tools engineers already use. A new ticket in Jira can trigger a security review. A spec in Notion or Google Docs can launch a privacy assessment before a line of code is written. The system maps data automatically across warehouses like Snowflake and Databricks, so the privacy team is reasoning about real data, not a guess. And the answers it gives are tailored - here is your risk, here is the guidance, here is what to fix.
Automates DPIAs, ROPAs, and PII discovery so reviews keep pace with development.
Frameworks for deploying generative AI responsibly and meeting the EU AI Act.
Vendor assessments and procurement integrations to catch outside risk before signing.
Automated classification across 20+ data sources, tied to live privacy decisions.
Jira-triggered security reviews that fold into existing engineering workflows.
Captures institutional knowledge so past decisions inform the next ones.
It connects to Jira, Notion, Ironclad, Okta, Slack, Snowflake and more - because the best privacy tool is the one nobody has to remember to open.
The most quotable proof point comes from Discogs, the music database, which used TerraTrue to compress its review cycle from 33 days to 4 - roughly 80% faster. That is the difference between privacy as a quarterly bottleneck and privacy as a same-week answer. The customer list reads like a tour of fast-moving consumer tech: Lyft, Roku, Elastic, Wish, OfferUp, Depop, Greenlight, JAM City.
Source: TerraTrue customer reporting. Roughly an 80% cut - or, in human terms, a month of waiting that no longer happens.
TerraTrue states its mission plainly: to equip teams to build privacy and security into everything they do, through a platform that is collaborative, intuitive, and scalable. Underneath that is something closer to a belief - that privacy and security are fundamental rights, and that the surest way to protect them is to make the right thing the easy thing. The company's culture leans on three words it actually uses: curiosity, empathy, and a passion for excellence.
It is a small company taking on big incumbents - OneTrust, TrustArc, Securiti, BigID - in a market that loves heavyweight compliance suites. TerraTrue's wager is that lighter and earlier beats heavier and later. Whether that wager pays off is the open question. The early customers suggest it might.
The road just got more crowded. Every product team is now also an AI team, and AI does to data governance what fire does to a dry field. Models train on data nobody fully mapped, ship features nobody fully reviewed, and answer to rules - like the EU AI Act - that are still being written. The tollbooth-at-the-end approach was already failing. Against AI, it has no chance.
Which is why TerraTrue keeps pushing its reviews earlier and making them smarter: ideation-phase checks from a Google Doc, automated data discovery, AI-assisted guidance, and integrations that let assistants reason over a company's own past decisions. The thesis has not changed since 2018. The stakes around it have only grown.
Go back to that product manager, still typing in Notion. The feature is risky in a way she has not noticed yet. In the old world, she finds out in three months, in a tense room, from someone holding a finished product and a list of problems. In the TerraTrue world, she finds out now - in the doc, while the idea is still soft and cheap to change. Same product manager. Same feature. The only thing that moved was when the question got asked. That, in the end, is the entire company.