Education

AI agent governance for education and EdTech

FERPA, emerging state AI-in-education mandates, student data protection: universities and EdTech companies are deploying tutoring agents, grading assistants, and enrollment processors faster than privacy frameworks can keep up. Roval gives your institution the registry, monitoring, and compliance infrastructure to govern them responsibly.

Request detail: tutoring-assistant
Prompt content
Help Emma Rodriguez with grade 8 math. Current grade: C+. IEP status: 504 plan active.
ferpa-protection Blocked
student-name Emma Rodriguez
academic-record C+ (grade 8 math)
iep-status 504 plan active
The challenge

Education AI is scaling faster than privacy protections

Tutoring agents, grading assistants, and enrollment processors now handle student records at scale, yet most institutions have no centralized inventory of which agents access what data, which models they call, or whether they meet FERPA requirements.

FERPA requires audit trails for every access to student education records. Most AI agents interacting with student data produce no audit trail at all.

State mandates on AI transparency in education are emerging rapidly (from Illinois to California), and each has different disclosure and oversight requirements.

Tutoring agents routinely send student context, performance data, and personal information to external LLM providers without institutional oversight or data processing agreements.

Regulatory frameworks

Regulatory frameworks for education

Pre-mapped requirements. Activate a framework and Roval tracks evidence per requirement.

US
FERPA ferpa

Student education record privacy protections: consent, disclosure, and audit requirements for AI systems accessing student data.

Active
12 requirements Student data
US
COPPA coppa

Children's online privacy protections: parental consent, data minimization, and deletion requirements for K-12 AI tools.

Active
10 requirements Child privacy
Industry
SOC 2 Type II soc2-type-ii

Trust service criteria mapped to agent governance, required by districts and universities procuring EdTech platforms.

Active
18 requirements Annual audit
EU
GDPR gdpr

Data processing, consent management, and right to explanation for AI systems handling EU student data.

14 requirements Data protection
Industry
ISO 42001 iso-42001

AI management system standard: risk assessment, lifecycle governance, and accountability for institutional AI deployments.

22 requirements AI management
US
NIST AI RMF nist-ai-rmf

Voluntary risk management framework for AI: govern, map, measure, and manage risks across educational AI systems.

19 requirements Risk management
Policies

Pre-built policies for education

Start from a template, customize the rules, and activate. Every policy enforces controls on your agents.

Student data protection

Detects student IDs, grades, and education records in prompts. Blocks sensitive data from reaching external model APIs without proper consent.

Active
12 blocked · 9 sensitive · 5 read-only
Academic integrity monitoring

Tracks how tutoring agents interact with assignments and exams. Flags potential academic dishonesty patterns and logs all assessment-related interactions.

Active
8 blocked · 11 sensitive · 6 read-only
Grading fairness oversight

Monitors AI grading agents for bias across demographics. Requires human review when score distributions show statistical anomalies.

6 blocked · 8 sensitive · 4 read-only
Parental consent enforcement

Ensures AI agents serving minors verify parental consent status before processing data. Blocks interactions when consent is missing or expired.

10 blocked · 5 sensitive · 3 read-only
Research data governance

Controls for AI agents handling IRB-approved research data. Enforces data isolation, anonymization, and proper retention policies.

7 blocked · 6 sensitive · 9 read-only
Third-party vendor risk

Controls for agents calling external LLM APIs: data residency checks, vendor approval lists, and Student Data Privacy Consortium compliance.

6 blocked · 4 sensitive · 8 read-only
How it works

Built for institutions managing AI at scale

Institution-wide agent inventory

Every AI agent (from tutoring assistants to enrollment processors) registered with owner, model, risk tier, and data access scope. Search by natural language across your entire institution.

Agent registry
Agent Model Risk Status
tutoring-assistant gpt-4o Tier 3 Active
grading-helper claude-3-5 Tier 3 Active
enrollment-processor gpt-4o-mini Tier 2 Active
research-summarizer claude-3-5 Tier 1 Active

Real-time cost attribution

See which agents call which models, how many tokens they consume, and what they cost. Set budget alerts per department, per agent, per model.

Cost attribution, March 2026
Agent Model Tokens Cost
tutoring-assistant gpt-4o 1.8M $920
grading-helper claude-3-5 1.2M $610
enrollment-processor gpt-4o-mini 420K $210
tutoring-assistant gpt-4o 2.6M $1,340 ↑

Continuous compliance monitoring

FERPA evidence expires. Vendor agreements change. Staff leave. Roval detects it all within 15 minutes and alerts before your next audit.

Compliance posture
FERPA
96% Pass
COPPA
100% Pass
SOC 2
84% Review
tutoring-assistant: FERPA consent evidence expires in 12 days
grading-helper: owner j.martinez@university.edu departed

Explore Roval for education

Join the private beta. Full registry and compliance setup in under 10 minutes.

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