Minimal
Public information or information intended for public access. Protecting its integrity is the primary concern.
Hosting and ownership
TritonAI gives campus services approved routes to AI models and campus information. Anyone can review the privacy, security, and accessibility decisions behind those routes on this site.
The platform does not make a service trustworthy on its own. Each service still needs a stated purpose, data it is allowed to use, a named owner, and people who check the results.
How a supported service fits together
UC data classification
UC assigns Institutional Information and IT Resources one of four Protection Levels based on the potential impact of unauthorized disclosure or modification. UC San Diego has approved TritonGPT and TritonAI Harness for use with information up to P3 when the use is within an approved service or setup. P4 data is not approved.
Public information or information intended for public access. Protecting its integrity is the primary concern.
Internal information that is generally not public. Unauthorized use or loss could cause minor harm, financial loss, or privacy impact.
Information whose compromise could cause moderate harm, privacy impact, financial loss, or legal action. Examples include student education records, UC personnel records, and some personally identifiable information.
Information whose compromise could cause significant harm, regulatory action, or civil or criminal penalties. Examples include protected health information, payment-card data, Social Security numbers, and controlled government information.
Read the UCOP classification page Open the UC classification guide (PDF)
Approval up to P3 does not grant access to information or approve every use case. The person or office responsible for the information still determines its classification, permitted use, access, and any additional controls.
The shared foundation
Hosting, model access, information sources, and actions solve different problems. Each needs its own approval and operating boundary.
A service can use approved enterprise cloud models or UC-hosted open models running at the San Diego Supercomputer Center. Which route it takes depends on the data involved and the controls that data requires.
Supported applications reach models through a single managed gateway. It gives everyone the same technical path. It does not approve what data a service may send through it.
When someone asks a question, the assistant looks the answer up in sources it is cleared for. The model itself was not trained on private campus content.
Skills and connectors expose only the capabilities approved for a service. The service defines who may use them, where a person reviews the result, and when the workflow must stop or escalate.
Where a service runs
A build moves to a more managed home as more people rely on it, as it touches more data, or as failure starts to cost something. The Build overview explains what each rung needs.
localhost. Fine for learning. Nothing other people depend on.apps.ucsd.edu.tritonai.ucsd.edu.ucsd.edu.Where people experience it
The same architecture sits behind all of these. Each one still needs its own named owner and an approved support path.
A campus assistant for chat, documents, and available models.
An assistant sitting on a department site, answering from that site's content.
AI features delivered through approved campus applications.
Course tools built around what the instructor wants students to learn.
Department tools and supervised workflows built through supported APIs.