K–12, Higher Education & Research

A governed AI browser for schools, universities and research

Q: How does Mira protect student data and FERPA-sensitive records?

Student records and FERPA-sensitive data are governed across every browser action and AI read, with audit and central locks.

Q: Can students and teachers use AI safely?

Yes — AI within approved boundaries, sensitive data redacted before any provider call, with a no-send gate and prompt-injection defense.

Q: How does Mira support research data and external collaborators?

Research IP is protected across web platforms, and external collaborators get scoped, audited access to approved apps without broad VPN.

Education is moving into an AI-first era. Students, teachers, faculty, researchers, administrators, counselors and IT teams work across learning platforms, student information systems, research portals, cloud documents, collaboration tools and AI assistants every day — but the browser was never designed to enforce education-grade controls. Mira gives schools, colleges and universities a governed AI browser where learning, research, administration and AI-assisted work can happen safely.

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FERPA

Student records & PII contained across every tab

Safe AI

Governed AI for students, teachers & faculty

Research

Unpublished IP, datasets & grants protected

ZTNA

Scoped access for adjuncts, contractors & BYOD

The problem

Where education workflows leak risk

Student records, assessment materials, research data, unpublished IP, financial-aid and institutional documents move across tabs, downloads, uploads, clipboard actions, screenshots, extensions, cloud drives and AI tools with limited containment or auditability.

Student & minor data exposure

Student records, assessment materials, IEP and financial-aid data cross SIS, LMS, downloads, clipboard, screenshots and AI tools with limited containment — for minors and adults alike.

Ungoverned AI & academic integrity

Students and staff adopt AI faster than policy — risking data leakage into unauthorized tools and undermining assessment and academic integrity.

Research IP & institutional systems

Unpublished papers, datasets, grant proposals and admissions, registrar and finance systems are reachable from unmanaged devices and external collaborators with no browser-level control.

How Mira helps

Bring AI into the browser without losing control

Mira makes the browser the control point for education: role-based workspaces, AI guardrails, fail-closed policy on every action, and audit-ready governance — so learning, research, administration and AI-assisted work happen safely.

Role-based education workspacesStudents, teachers, faculty, researchers, administrators, IT and external users each get the exact apps, sites, policies and AI capabilities they're allowed to use.
DLP on data movementStudent records, assessments, research data and institutional IP are detected and governed across downloads, uploads, clipboard, screenshots and AI reads.
Governed AI guardrailsAI helps draft lessons, summarize approved sources and support research — with sensitive student and institutional data redacted before any provider call, and prompt-injection defense.
Audit-ready governanceMetadata-first records of access, AI interactions and policy decisions give security, privacy and academic leadership the evidence they need.

Capabilities

Capabilities for education institutions

Role-based workspaces

Controlled workspaces for students, teachers, faculty, researchers, administrators, IT teams and external users.

AI inside the browser

Summarize, compare, extract and support work across approved tabs and education platforms — under policy.

Fail-closed policy

Navigation, downloads, uploads, clipboard, screenshots, extensions, risky sites and AI usage governed at the point of use.

DLP & data protection

Sensitive-data redaction, prompt-injection protection, encrypted local storage and controlled handling of institutional data.

Governed WebAgents

Agents assist with repetitive browser workflows — with a policy check required before every action.

Audit & governance dashboards

Metadata-first audit events and dashboards for browser activity, AI interactions and policy decisions.

Use cases

From K–12 classrooms to research labs

AI assistance and hard controls across K–12, higher education and research.

Governed AI for teachers & facultyDraft lesson plans, rubrics and lectures and summarize approved curriculum or materials — while sensitive student and institutional data stays contained.
Student-safe AI & assessmentsAllow AI only within approved boundaries, and run controlled sessions for quizzes and assessments with navigation, download and clipboard policy.
SIS, registrar & administrationGovern access to student information, grading, IEP, admissions, financial-aid, HR and finance systems with auditability and policy controls.
Research-safe collaborationWork across journals, datasets, grant portals and labs with protection for unpublished papers, confidential data and institutional IP.

Approved workspaces & integrations

Trusted apps for this role

Learning management systemsStudent information systemsGrading & assessment platformsResearch & journal portalsAdmissions & registrar systemsCloud document suitesCollaboration platformsCustom internal apps

Compliance & controls

Mapped to your obligations

FERPA-aligned controlsCOPPA-aware (K–12 minors)GDPR / DPDPSOC 2Research data protectionAI governanceSSO · MFA · SCIM

FAQ

Questions for Education teams

How does Mira protect student data and FERPA-sensitive records?

Student records, assessment data, IEP and financial-aid information are detected and governed across downloads, uploads, clipboard, screenshots and AI reads, with metadata-first audit of who accessed what, when — and central locks that lower-level admins cannot loosen.

Can students and teachers use AI safely?

Yes, under policy. AI is allowed only within approved boundaries; sensitive student and institutional data is redacted before any provider call, a no-send gate can block execution, prompt-injection is defended, and an inspector shows exactly what the model receives.

How does Mira support research data and external collaborators?

Researchers work across journals, datasets, grant portals and labs with protection for unpublished papers and institutional IP, and universities can give adjunct faculty, contractors and research partners scoped browser access to approved apps — without broad VPN access, and with every action audited.

Turn AI from an unmanaged risk into a governed capability

See Mira deliver safe AI for classrooms, governed AI for campuses, and secure browser access for students, faculty, researchers and external collaborators — with privacy, governance and audit built into the browser.

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