Deliver trusted, compliant student experiences from enrollment to graduation

Yes. Using student or applicant data with AI tools often requires explicit consent under FERPA, GDPR, and state laws, especially when data is used beyond core educational services. Ketch automates consent capture, links AI usage to the correct legal basis, and enforces policies across all tools so institutions avoid unauthorized processing and maintain regulatory compliance at scale.

Uncontrolled “shadow AI” makes it difficult to see what data leaves SIS, LMS, CRMs, or staff workflows. Ketch automatically discovers data flows, identifies which systems exchange personal data with AI tools, and maps where information is used. This gives institutions centralized visibility and actionable governance so they can safely approve, restrict, or block AI data use.

Yes. If prompts or embeddings include identifiable or linkable student information, they count as personal data under FERPA and GDPR. That means they require proper consent, access control, and governance. Ketch classifies data sent to AI systems, applies the correct policies, and prevents unauthorized use by blocking AI interactions that contain protected data.

Consent must be enforced, not just collected. Ketch converts policies into real-time enforcement by blocking AI or analytics tools from processing data unless valid consent exists. This ensures student data is used only for authorized purposes and gives institutions a compliance-as-code foundation that prevents accidental or unlawful processing before it happens.

Yes. AI introduces new data uses that must be transparently disclosed. Manual updates are error-prone, especially in complex education ecosystems. Ketch synchronizes privacy notices with actual data practices by automatically detecting AI-related processing and triggering required updates, keeping disclosures accurate and aligned with evolving institutional workflows.

Educational data lives across many disconnected systems, making manual consent management impossible. Ketch centralizes consent into a unified, authoritative profile and syncs it across all tools. Real-time APIs ensure AI models, marketing workflows, CRMs, and learning platforms pull the correct consent state before using data, preventing cross-system inconsistencies.

Regulators require evidence of lawful processing. Ketch maintains a verifiable, timestamped audit trail showing what consent was granted, when, by whom, and for which purpose. This provides defensible documentation during FERPA, GDPR, or CPRA reviews and ensures institutions can demonstrate compliance for every AI or analytics-driven data use.

When consent is withdrawn, downstream data must stop being processed, and sometimes be deleted or replaced. Ketch orchestrates revocation across all connected systems, halts unauthorized AI usage, and triggers updates or purges as required. This prevents legacy systems and AI tools from continuing to use data in ways no longer permitted by the student or applicant.

Education data can fall under overlapping laws with different rights and obligations. Ketch abstracts these requirements into a unified policy engine that applies the strictest rules automatically. This eliminates guesswork, ensures lawful processing in every jurisdiction, and gives institutions a consistent, scalable governance model for global or diverse learner populations.

Purpose limitation is a legal requirement. Ketch enforces it automatically by validating every data use case — AI queries, exports, personalization workflows — against the original consent and policy. If a use exceeds what was authorized, Ketch blocks it in real time. This prevents accidental misuse and ensures departments don’t overstep the student’s stated preferences.

Yes. Vendor proliferation is a major risk in education. Ketch provides centralized governance that determines which tools are approved, what data they can access, and under which conditions. It can block unapproved AI integrations, enforce vendor contracts, and ensure data only flows to systems that meet institutional, legal, and security requirements.

Manual governance breaks down quickly. Ketch turns privacy decisions into automated workflows, tying policies to real data flows, consent states, system integrations, and enforcement rules. This “compliance-as-code” model ensures consistency, reduces human error, and frees privacy teams from administrative work so they can focus on strategy, not spreadsheets.

Admissions, marketing, and advancement teams often use analytics tools that may over-collect or misuse data. Ketch ensures only consented data is available for segmentation, personalization, or AI models. It blocks unauthorized data access, syncs consent states across CRMs and email tools, and prevents accidental violations that could damage trust or trigger compliance issues.

Education environments evolve rapidly: new tools, AI systems, and integrations appear frequently. Ketch continuously discovers data flows, updates system inventories, reconciles consent states, and tracks vendor dependencies. This dynamic mapping ensures institutions always know where data is, how it's used, and whether use remains compliant as the ecosystem evolves.

Institutions need both compliance and agility. Ketch provides automated governance that safeguards student data while allowing teams to adopt new AI and analytics tools quickly. Policies adapt to new systems, consent enforcement is automatic, and risk is minimized, enabling innovation without compromising compliance, transparency, or institutional trust.