Campus AI. Governed from enrollment to research.
Education institutions face unique AI governance challenges spanning student data privacy, research IP protection, academic integrity, and compliance across K-12 and higher ed. Arbitex puts governance in front of every AI call — protecting student records, research data, and institutional operations under FERPA, COPPA, CIPA, and NIH data sharing requirements. The data plane deploys inside your campus network.
Capabilities
AI governance built for K-12 districts, universities, and research institutions.
FERPA Student Data Protection
Student education records — grades, disciplinary records, financial aid, enrollment — under FERPA cannot reach unauthorized AI endpoints. Arbitex's DLP pipeline detects student PII patterns: student IDs, education records, directory information opt-outs, and parent/guardian data. Faculty and staff using AI for grading, advising, or administrative tasks are inspected in-path. Violations are blocked before reaching any model.
Research IP & Grant Data DLP
Universities and research institutions handle proprietary research data, grant applications with unpublished findings, patent-pending discoveries, and federally funded research data subject to data management plans. Arbitex detects research-sensitive content: NIH/NSF grant numbers, unpublished research data patterns, intellectual property markers, and proprietary dataset references. Researchers using AI assistants for literature review or data analysis are protected.
Academic Integrity in AI Usage
Institutions need governance over how AI is used in academic contexts — distinguishing between authorized research use, faculty productivity tools, and unauthorized student submission of AI-generated work. The policy engine enforces institution-specific AI acceptable use policies per user role. Faculty get full AI access for research; student access is governed by course-level policies. Every interaction is logged for academic integrity review.
Institutional AI Governance Policy
Higher education institutions need centralized governance over which AI models are available, what data categories each department can send, and how AI usage aligns with institutional review board requirements. Arbitex enforces department-level routing policies and data category restrictions. IRB-approved research workflows get different AI access than administrative tasks. Budget controls prevent runaway costs across distributed departments.
COPPA Compliance for K-12 AI Deployments
K-12 districts deploying AI tools for students under 13 must comply with the Children's Online Privacy Protection Act. AI interactions involving minors require enhanced PII protections, verifiable parental consent workflows, and data minimization. Arbitex enforces COPPA-aligned controls at the gateway: enhanced detection for minor student PII, content filtering on AI responses, data retention limits on student interactions, and audit evidence for parental consent compliance and district AI acceptable use policy enforcement.
Air-Gap Deployment for Sensitive Research
Research institutions handling classified defense research (ITAR), human subjects data (Common Rule), or national security research require isolated AI environments. Arbitex Hybrid Outpost deploys inside the research institution's secure network — DLP, policy enforcement, and audit run with no external connectivity. Policy bundles are delivered through approved secure transfer procedures. The gateway operates fail-closed: if the policy bundle cannot be validated, all AI traffic is blocked until the condition is resolved.
How it works
Deploy inside your campus network or research environment
The Arbitex data plane installs in your campus VPC or research network using Docker Compose or Kubernetes. Student, faculty, and staff AI traffic routes through the gateway before reaching any model endpoint. For air-gap research environments, the Outpost package installs on locally provisioned infrastructure with no external network dependency. FERPA detection, research IP protection, and audit logging run entirely inside your institutional boundary. No prompt content, response content, or student data transits Arbitex infrastructure.
Student data and research IP detection runs in-path before any model processes it
FERPA-regulated education records, student PII, research grant data, and IP-sensitive content are detected before reaching any AI model. Policy enforcement applies institution-specific rules per department and user role. Faculty research workflows, student coursework, and administrative tasks are each governed by appropriate policies. Enforcement actions — block, redact, or route-to-review — execute before any data reaches the model. Every decision is logged with a compliance framework identifier for institutional reporting.
Audit evidence ready for FERPA compliance and accreditation
The tamper-proof audit log accumulates a complete evidence trail for every AI interaction involving student data or research content. Signed exports provide documentation for FERPA compliance, accreditation reviews, and institutional AI governance reporting. SIEM integrations deliver enforcement metrics for continuous monitoring of student data handling and research data protection across campus departments. Academic integrity logs are available for course-level review.
Six frameworks. One policy layer.
Each compliance obligation maps to a specific Arbitex capability. All bundles are active simultaneously — no separate configuration per framework, institution type, or student population.
Student education records protection. DLP detection for student IDs, grades, disciplinary records, financial aid data, and directory information. Audit logs mapped to FERPA disclosure requirements and institutional compliance reporting.
Under-13 student data protection for K-12 districts. Enhanced PII detection for minor student data. Parental consent verification support. Age-appropriate content filtering on AI interactions.
Universities handling CUI from defense-funded research contracts must comply with NIST SP 800-171. DLP detection for CUI markings and controlled technical data. Access controls enforced per user role and project classification. Audit evidence mapped to NIST 800-171 control families.
Student financial aid and loan data under the GLBA Safeguards Rule. Financial PII detection for student loan applications, aid packages, and institutional financial records routed through AI tools.
Universities conducting defense-funded research handle ITAR-controlled technical data. Arbitex does not ship ITAR detectors; institutions author org DLP rules for the controlled identifiers in scope. Air-gap Outpost deployment for classified or controlled research environments.
Student data privacy laws in 50+ states — including Illinois SOPPA, California CCPA/CalOPPA, New York Ed Law 2-d, and Colorado Student Data Transparency Act. Arbitex enforces data handling aligned with the strictest applicable state requirements. Audit exports document compliance per jurisdiction.
Related Resources
Ready to put governance in front of your campus AI?
Talk to an Arbitex engineer about FERPA compliance, research IP protection, academic integrity policies, CIPA compliance for K-12, and air-gap deployment for sensitive research environments.