Teach and research with AI, without putting tenure, funding, or a student's record at risk.
Tokto gives faculty, chairs, and the provost one record that ties every classroom prompt, every research-model output, and every student-data flow to a course, a study, and a department, ready for the IRB, the accreditor, the funding agency, and the dean.
A professor uses a new AI tutor to grade essays and pastes the class roster and grades into it. A FERPA complaint reaches the dean. The IRB asks whether the same tool touched an active study. The provost asks the chair, in front of the accreditation team, how AI is supervised across the department. No one has an answer that matches.
What you get with Tokto
- Every classroom and research prompt tied to a course, a study, a department, a student or subject, and a model version.
- A single record that the chair, the dean, the provost, the IRB, and the accreditor can read against the same evidence.
- Policy at the prompt: FERPA records blocked, IRB-protected data redacted, export-controlled research stopped before tokens leave the boundary.
- AI used at the speed of teaching and scholarship, with the audit trail the institution needs for funding and accreditation.
How it works
Tokto sits inside every AI conversation a faculty member, a research team, or an academic administrator has. The tutoring co-pilot, the grading assistant, the literature-review model, the grant-writing tool — all become records at the moment of output. The record carries the course, the study, the department, the student or subject, the model version, and the policy that applied. The scholar gets the speed; the institution gets the trail.
When a student files a FERPA complaint, when the IRB asks how subject data was governed in an AI-assisted protocol, when the funding agency asks how restricted research stayed inside the grant terms, when the accreditor asks how AI is supervised across teaching, the answer is one query against the system of record. Faculty keep academic freedom; the chair, the dean, and the provost keep the institution inside FERPA, the IRB protocol, and federal funding terms.
What goes wrong without it
- A faculty member pastes a class roster and grades into a public model. A FERPA complaint reaches the dean.
- A research assistant runs IRB-protected subject data through an unsanctioned tool. The study is paused and reset.
- An AI tutor is used across three courses before the chair hears about it. The accreditor finds out at review.
- Export-controlled research data routes through a non-US model on a grant. The investigator's funding is suspended.
Educause research finds 94% of higher education employees now use AI tools for work, but only 54% are aware of their institution's AI policy and 56% use AI tools the institution did not provide. Self-hosted education AI platform misconfigurations have exposed tens of thousands of student records per breach; over 1.8 million U.S. students have had education data exposed since 2020. Student PII flowing into unsanctioned tools sits squarely inside FERPA and COPPA exposure with no institutional record of consent or use limit.
See how Tokto makes enterprise AI visible, governed, and accountable for Academic in Universities & Higher Education.
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