Does PrivacyScrubber send my data anywhere?

No. All detection and masking happens locally in your browser's memory. You can verify this yourself by opening your browser's Network tab or disconnecting from the internet — the tool keeps working.

What AI tools does it work with?

ChatGPT, Claude, Gemini, Copilot, Grok, Llama, Perplexity, Mistral, and Hugging Face Chat. The browser extension adds in-page masking directly inside each of these.

Is the free version good enough for regular use?

The free tier covers core PII types (names, emails, phone numbers) up to 15,000 characters per scrub, with a 3-page PDF limit. Batch processing, OCR, and industry-specific detection profiles (legal, medical, finance, etc.) require PRO.

Does this satisfy HIPAA, GDPR, or SOC 2 requirements?

PrivacyScrubber is designed to support de-identification under HIPAA Safe Harbor, GDPR Article 25/32, and SOC 2 CC6-series controls by removing identifiers before data reaches a third-party AI tool. It is a technical control, not a substitute for a full compliance program — check with your compliance team on whether it fully satisfies your specific obligations.

Can I get my original data back after the AI responds?

Yes. Paste the AI's response back into the tool and click "Reveal" — it swaps the tokens back to your real data locally, with no server round-trip.

Is PrivacyScrubber a local or cloud PII scrubber?

PrivacyScrubber is a 100% local, browser-based PII scrubber. Unlike cloud DLP solutions, it performs enterprise-grade PII and PHI scrubbing entirely in your browser's RAM, ensuring zero-trust data sanitization for texts and documents (PDFs, DOCX, CSV) without ever sending data to an external server.

What happens to the session map when I close the browser?

The session map is stored exclusively in volatile browser RAM. The moment you close the tab, reload the page, or navigate away, the entire mapping — including all original PII values — is permanently destroyed.

Does PrivacyScrubber remove PII from uploaded documents, and what is the output format?

Yes. PrivacyScrubber detects and scrubs PII from local documents (.txt, .docx, .pdf, .xlsx, .csv, and images). You can download the output either as a fully sanitized, anonymized document (retaining its original file extension and structure) or copy the processed text stream directly to your clipboard.

How does the TEAMS encrypted session sharing work?

PrivacyScrubber generates an AES-GCM encrypted link locally. Your colleague can paste the AI's response and use your shared, encrypted key to safely 'reveal' the original data on their machine — no database or server involved.

How does closed Shadow DOM sandboxing protect my data from malicious scripts?

PrivacyScrubber encloses both your editor input (#inputText) and the highlighted token output within isolated, closed Shadow DOM roots. This makes the raw, unredacted text completely inaccessible to any third-party scripts, browser extensions, or key-sniffing scripts running in your main document pool, creating a hardened frontend sandbox.

Can corporate accounts or accounting firms pay via manual invoice or wire transfer (SWIFT/SEPA)?

Yes. If your corporate credit card is declined due to international banking restrictions or if your procurement department requires manual invoicing, purchase orders (PO), or bank wire transfers (SWIFT/SEPA), our team can manually issue a formal invoice with tax reverse-charge support. Contact support@privacyscrubber.com to request an enterprise invoice.

How does PrivacyScrubber prevent data residue in system RAM (V8 memory wiping)?

To prevent PII or case documents from remaining in your device's memory after sanitization, the processing engine actively overwrites all temporary parsing buffers (used for DOCX, PDF, and spreadsheet extraction) at the byte level using Uint8Array.fill(0) in local memory immediately after use, ensuring zero sensitive residue remains in RAM before garbage collection.

Does changing the detection profile reset my protected session data?

No. Changing your detection profile (e.g., from General PII to Wealth Management) does not clear your active session or reset your local token maps. This ensures that any tokens generated using your previous profile remain fully decryptable when you paste AI responses back to 'Reveal' the original text. To completely wipe your session, rotate encryption keys, and clear all memory, click the 'Clear' button at any time.

How do local Audit Receipts and Teams Handoff work without a backend database?

PrivacyScrubber operates entirely in your browser's local RAM. Compliance audit receipts and team handoffs are exclusive features of the Teams Subscription. For audit compliance, the system builds an offline cryptographic PDF receipt documenting entity counts, timestamps, and active compliance profiles. For Teams Handoff, it encrypts the tab's session map in-memory using Argon2id and XChaCha20-Poly1305. Your colleague decrypts the token map on their machine using the shared key — no central database or server ever touches your data.

Does PrivacyScrubber use third-party tracking, analytics, or review widgets?

No. To maintain a strict zero-trust data sanitization architecture, PrivacyScrubber does not load third-party analytics trackers, cookies, or reviews integrations (such as Google Customer Reviews or similar widgets). Adding dynamic third-party scripts would require relaxing our Content Security Policy (CSP) and could allow external servers to inspect page states or log user environments. We display reviews statically or link to external platforms like G2 or the Chrome Web Store to ensure zero data leakage.

Can I use PrivacyScrubber as a PII MCP Server for Cursor or Claude Desktop?

Yes. PrivacyScrubber offers an official local Model Context Protocol (MCP) server package (@privacyscrubber/mcp-server) that integrates directly with Cursor IDE, Windsurf, and Claude Desktop. It acts as a local prompt security gateway, scanning and masking PII and API keys locally in volatile RAM before they are transmitted to external LLM APIs.

How are Team Administrator roles managed without a backend server?

In our Zero-Trust Data Sanitization (ZTDS) architecture, there are no server-side accounts or traditional 'Admin' vs 'User' roles. Team Administration is handled via client-side Blueprints. A team lead sets up the required compliance profiles, custom regex rules, and organization name locally, then locks the configuration and exports a cryptographic 'Team Blueprint' URL. When workers click this URL, their local PrivacyScrubber instance activates the TEAMS license, imports the mandated configuration, and disables their ability to edit or delete rules, ensuring organization-wide compliance securely without a backend database.

What is the difference between Token Labels and Custom Regex Rules?

Custom Regex Rules and Token Labels serve distinct purposes in Zero-Trust AI sanitization. Custom Regex Rules are a pattern discovery engine used to identify new or proprietary identifiers (such as internal ticket numbers, project codes like PROJ-\d{4}, or custom account formats) that are not covered by default NER models. In contrast, Token Labels do not search for new text; instead, they rename the replacement placeholders for standard detected entities (for example, mapping NAME → PATIENT or ID → CASE_NUMBER) so that the LLM receives domain-accurate semantic context in its prompt without requiring custom regex code.

How do Custom Token Labels optimize LLM prompt comprehension?

When prompts are sanitized using generic placeholders like [NAME_1] or [ID_1], LLMs may lose contextual role differentiation in multi-party prompts. Custom Token Labels allow PRO and TEAMS users to alias standard entity categories to domain-specific terminology (such as [PATIENT_1], [CLIENT_1], [PLAINTIFF_1], or [DEFENDANT_1]). This gives the LLM precise semantic clarity about each entity's functional role while preserving 100% anonymization and enabling seamless 1-click reverse-scrubbing ('Reveal') of the AI response.

Academic

Translate and Process Academic Interviews with Privacy

Researchers using AI to translate or format sensitive interview transcripts need the real names put back into the final translated document. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Ilya SibiryakovPrivacy Architect

Published: August 15, 2026 · Updated: August 15, 2026 · 3 min read

100% Local Processing ✈ Airplane Mode Verified⊘ No Server Logs

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"PrivacyScrubber provides the essential de-identification layer for Academic professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Academic data into ChatGPT — only scrubbed tokens reach the model. Names, IDs, and emails stay on your machine.

Works offline: disconnect the network mid-session and it keeps running. Zero cloud dependency.

Your AI gets full context. Your clients' real identities never leave your browser tab.

Enterprise-Grade AI Privacy

Add custom redaction rules and priority support with PRO.

GO PRO

In This Article

Live Simulation

Zero-Trust Data Sanitization

Watch PrivacyScrubber's local engine transform sensitive Academic data instantly in your browser, without any API calls.

Automated Detection Classes:

PARTICIPANT_IDSTUDENT_NAMEDates of Birth (DOB)SURVEY_RESPONSEIRB_NUMBER

100% Client-Side Execution

Wasm_Engine

RESEARCH DATA > Subject: P-2026-0044 | Name: Tyler Reeves DOB: 1998-11-03 | Institution: MIT Response: "I experienced significant anxiety in March 2025."

RESEARCH DATA > Subject: [ID_1] | Name: [NAME_1] DOB: [DATE_1] | Institution: [ORG_1] Response: "I experienced significant anxiety in [DATE_2]."

AI Risk Calculator

Company

AI Users50

Risk● Critical

Leaks/yr

9,000

Max Fine

€20M

The Zero-Trust Imperative: Stop leaking sensitive client data to public LLMs and protect your organizational privacy. PrivacyScrubber ensures you can leverage GenAI safely by neutralizing risks 100% offline in your browser.

What Academic Professionals Send to AI — and What They Should Be Sending Instead

If you're using AI for "Translate and Process Academic Interviews with Privacy", protecting your personal data is essential. Chatbots like ChatGPT for writing assistance, AI literature review tools, and research analysis platforms store every prompt you send to train their models. Our academic AI privacy guides provides a simple guide on how to protect your privacy and enjoy the benefits of AI. The primary risk is uploading participant data, student records, or preliminary research findings to AI tools, violating protocol consent scope and IRB-mandated data handling.

Pasting text for "academic interview translation AI" tasks into chat interfaces creates a persistent record. These conversations are saved on company databases and used for model training, meaning your private info is no longer under your control. Researchers using AI to translate or format sensitive interview transcripts need the real names put back into the final translated document. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Why Academic Compliance Teams Flag Unmasked AI Prompts

While laws like FERPA (student records) exist, they can't prevent third-party servers from saving your prompts. Reading mask pii in clinical trial datasets helps you understand how to keep your personal data secure. The best standard for personal safety is local, browser-side data masking. Securing the input stream for academic interview translation AI tasks forms the baseline of compliance without exposing records to cloud-based systems.

PrivacyScrubber acts as a Private Shield for your chatbot conversations, using either our web dashboard or the Chrome Extension.

How to Use AI on Real Academic Data — Without Sending a Single Real Name

PrivacyScrubber acts as a Private Shield for your chatbot conversations, using either our web dashboard or the Chrome Extension. It identifies names, phone numbers, and other details in the browser, replacing them with placeholders like [NAME_1]. This corresponds with the methods in university AI dashboards, protecting your identity while keeping the AI smart. The Chrome Extension adds a shield button directly in ChatGPT, Claude, and Gemini to automate redaction and restoration. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of ChatGPT for writing assistance, AI literature review tools, and research analysis platforms for "academic interview translation AI" workflows without introducing external risk.

You don't have to take our word for it. You can test it yourself using our Airplane Mode Verification: load this page, turn off your Wi-Fi, and hit the protect button. It works perfectly without the internet, which is the gold standard for research data security and personal safety. If it works offline, you know your data is staying with you.

Zero-Trust Configuration & Threat Model

The technical safeguard for academic interview translation AI relies on intercepting sensitive strings before they cross the local network interface. By replacing actual values with deterministic placeholders (e.g., [NAME_1], [ID_2]), the utility ensures that external APIs only receive anonymized instruction logic. When integrating this system for reveal translations workflows, the threat of unintended leakage is minimized to near zero, maintaining the integrity of all research privacy LLM data channels.

Verification Protocol

Scan prompt text for explicit identifiers related to academic interview translation AI.
Execute client-side regex rules to sanitize variables associated with reveal translations.
Verify that the tab-isolated session map remains volatile in local memory.
Run a network audit via Chrome DevTools to confirm zero external telemetry.

Parser Specifications

Encryption Algorithm	XChaCha20-Poly1305 (Argon2id)
Detection Method	Context-Aware Regex + NER (99.8% Accuracy)
Data Egress Rule	Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard	Enhanced Privacy Guard
Associated Threat Level	Critical (Compliance Breach)

Academic Detection Profile

Our zero-trust engine is pre-hardened for Academic workflows, automatically identifying and tokenizing the following parameters 100% locally.

PARTICIPANT_ID

Active Protection

STUDENT_NAME

Active Protection

DOB

Active Protection

SURVEY_RESPONSE

Active Protection

IRB_NUMBER

Active Protection

Your Private Shield

PrivacyScrubber operates entirely on your device. Unlike other platforms, our local PII masking engine never transmits your sensitive prompts or documents to external servers. All detection and restoration happens in your computer's local RAM.

No Backend Connection: Zero API calls, zero tracking, zero logs.
Temporary Memory: Your data exists only for the duration of your tab's life.
Verification Ready: Built for professionals who need to audit their security layer with research data security.

Testing Your Safety

We encourage you to audit our zero-trust claims for academic interview translation AI using the Airplane Mode Test:

Open your browser's Network Monitor before you start scrubbing.

Switch to Airplane Mode (physical or simulated) and protect your text.

Verify that no data packets ever leave your machine.

ChatGPT & Enterprise LLMs Integration

How to Protect Data for Translate and Process Academic Interviews with Privacy

PrivacyScrubber operates entirely client-side. Whether using the copy-paste dashboard or the browser extension, your sensitive records stay on your local device. Follow these instructions to safely use ChatGPT & Enterprise LLMs:

1 Method A: Zero-Trust Web Workspace (Copy-Paste)

Best for manual prompt sanitization without installing plugins:

Open the PrivacyScrubber Web App dashboard in your browser.
Paste the raw prompt or text containing sensitive details of Translate and Process Academic Interviews with Privacy.
Click Protect PII. Sensitive data is instantly swapped for secure placeholders (e.g., [NAME_1]).
Submit the sanitized prompt to ChatGPT & Enterprise LLMs.
Paste the AI's answer into the Reveal Originals box to instantly restore the original values.

2 Method B: Chrome Extension (In-Context Redaction)

For automated, inline de-identification within chat interfaces:

Install the free PrivacyScrubber Chrome Extension from the Web Store.
Navigate to your AI chat interface. A PrivacyScrubber shield button will appear inline.
Paste your raw prompt. Click the shield button to sanitize all identifiers instantly in-place.
Send the prompt to the AI chatbot.
The extension automatically intercepts and detokenizes the response, displaying raw values to you.

Local Redaction & Risk Matrix for Academic

Detection Entity	Token Placeholder	Risk Level	Security Action
PARTICIPANT_ID Details	[PARTICIPANT_ID]	Medium (PII Exposure)	Deterministic local swap
STUDENT_NAME Details	[STUDENT_NAME]	Medium (PII Exposure)	Deterministic local swap
Dates of Birth (DOB)	[DOB]	High (Re-identification hazard)	ISO/SEPA date masking
SURVEY_RESPONSE Details	[SURVEY_RESPONSE]	Medium (PII Exposure)	Deterministic local swap
IRB_NUMBER Details	[IRB_NUMBER]	Medium (PII Exposure)	Deterministic local swap

VERIFIABLE WORKFLOW

From Raw Academic Data to Clean AI Prompt

3 Steps, 30 Seconds, Zero Server Hops.

Open PrivacyScrubber or the Chrome Extension. Paste your real Translate and Process Academic Interviews with Privacy text. What reaches ChatGPT looks like this: [NAME_1][EMAIL_1]. Your original data stays local the entire time.

Paste Your Real Data

Paste your actual Translate and Process Academic Interviews with Privacy text into PrivacyScrubber — or click the shield icon directly inside ChatGPT, Claude, or Gemini. No copy-paste workaround. No second tab. It sits right where you already work.

Automated Detection Classes:

[PARTICIPANT_ID][STUDENT_NAME][DOB][SURVEY_RESPONSE][IRB_NUMBER]

Names Out, Tokens In — Locally

The engine runs inside your browser. Every real name, ID, and email is replaced with a safe token ([NAME_1], [EMAIL_1]) before the prompt is sent. The AI analyzes your actual business logic — but sees zero real identities.

Safety standard:

Airplane Mode Verified (RAM Only)

Get the AI's Answer Back in Plain Language

Paste the AI's response into Reveal Originals. PrivacyScrubber swaps every token back to the original value — instantly, inside browser RAM. Close the tab and every mapping is gone. Nothing stored, nothing logged, nothing sent.

Privacy Guarantee:

Mapping destroyed on tab close

Academic Adoption Use Cases

CISO Security TeamDLP GOVERNANCE

Zero-Trust Verified

Security teams deploy client-side sanitization to keep outbound AI prompts free of sensitive organizational data, avoiding complex multi-party DPA negotiations.

VP of EngineeringENGINEERING SEC

Zero-Trust Verified

Engineering managers secure developer copy-paste workflows, sanitizing cloud credentials and API keys locally before they enter public LLM histories.

Risk & Audit LeadCOMPLIANCE AUDIT

Zero-Trust Verified

Compliance directors verify local-only sanitization at the browser extension level, satisfying SOC 2 Type II controls for external AI data transmission.

Data Protection OfficerGDPR COMPLIANCE

Zero-Trust Verified

Data protection officers enforce client-side tokenization, keeping prompt text fully minimized and anonymous in compliance with GDPR data processing rules.

Scrub it before it reaches the AI — right from your toolbar

The free PrivacyScrubber Chrome Extension replaces names, emails, and IDs with safe tokens directly inside ChatGPT, Claude, and Gemini — before you hit send. Nothing leaves your browser.

Add the Free Extension for Academic

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Academic compliance teams

Data transmission: 0 bytes sent to any server
Processing location: 100% browser RAM (volatile memory)
Session map persistence: Destroyed on tab close — never written to disk
Key derivation: Argon2id (memory-hard, server-independent)
Encryption cipher: XChaCha20-Poly1305 (authenticated encryption)
Offline verification: Airplane Mode Standard — full function without network
BAA / DPA required: No — zero PHI/PII reaches PrivacyScrubber servers
Audit method: Chrome DevTools → Network tab — zero outbound requests

How to audit: Open PrivacyScrubber, enable Airplane Mode, paste any academic text, click Protect PII. Open Chrome DevTools → Network tab. Zero outbound requests will confirm 100% local execution. The session token map ([NAME_1], [EMAIL_1]…) lives only in browser tab memory and is permanently destroyed when the tab is closed.

COMPLIANCE FAQ

Frequently Asked Questions

Common questions about deploying zero-trust AI for Academic Teams.

Does protecting translate data before AI processing satisfy FERPA (student records)?

Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with FERPA (student records) because no personally identifiable data is transmitted to the AI provider. The session map that maps tokens back to real values never leaves your browser.

What specific PII does PrivacyScrubber detect for academic use cases?

The engine detects names, email addresses, phone numbers (US and international formats), Social Security Numbers, EINs, credit card numbers, and custom identifiers. PRO users can add custom regex rules to match academic-specific patterns such as academic interview translation AI.

Can I reverse the redaction if I use PrivacyScrubber to mask academic data?

Yes. If you copy the AI's response and paste it back into PrivacyScrubber, it automatically maps the tokens (like [NAME_1] or [ID_1]) back to the original values using the ephemeral session map stored in your browser's memory.

Can PrivacyScrubber be used offline for academic interview translation?

Yes. All processing runs in your browser's local JavaScript engine, with no external server calls. Once the page loads, you can enable Airplane Mode and verify in Chrome DevTools (Network tab) that zero outbound requests occur. All cryptographic operations (including client-side pseudonymization and reverse-revealing) utilize hardware-accelerated XChaCha20-Poly1305 encryption and Argon2id key derivation running entirely inside browser RAM, ensuring your academic data stays 100% on your device.

How can I verify that PrivacyScrubber sends zero data to servers?

Use the 5-step Airplane Mode audit: (1) Open PrivacyScrubber in your browser. (2) Disconnect your network connection (enable Airplane Mode). (3) Paste a text sample containing names, emails, and phone numbers. (4) Click "Protect PII" — all tokens are generated instantly in local browser RAM. (5) Open Chrome DevTools → Network tab and confirm zero outbound requests were made. This test works because PrivacyScrubber uses a Wasm-based regex engine that runs 100% client-side. The session token map (e.g. [NAME_1] → "John Doe") exists only in browser tab memory and is destroyed when the tab is closed.

Do I need a HIPAA Business Associate Agreement (BAA) or GDPR Data Processing Agreement (DPA) with PrivacyScrubber?

No. PrivacyScrubber is designed to run entirely on the client side, meaning no Protected Health Information (PHI) or personally identifiable data is ever transmitted to our infrastructure. Since your data is not processed or stored on our servers, PrivacyScrubber is not acting as a HIPAA Business Associate or a GDPR Data Processor. Consequently, organizations typically determine that standard Business Associate Agreements (BAAs) or Data Processing Agreements (DPAs) are not applicable to PrivacyScrubber. However, you should consult with your compliance officer or legal counsel to verify compliance requirements for your specific workflows.

Can I customize detection rules specifically for academic interview translation AI PII safety?

Yes. In the PRO edition of PrivacyScrubber, you can configure custom regular expression (regex) rules designed to target unique patterns associated with academic interview translation AI and other sector-specific nomenclature. This allows you to extend the standard Named Entity Recognition (NER) model to cover proprietary account formats, internal project identifiers, or custom data attributes while keeping all execution client-side.

Is pasting sensitive data into ChatGPT safe?

Pasting sensitive data directly into ChatGPT can expose it to OpenAI's servers and model training unless you use zero-trust client-side scrubbing like PrivacyScrubber, which tokenizes data before it leaves your browser. Protect your workflows for $15/mo with PRO.

How does client-side PII redaction work?

Client-side PII redaction executes directly in your browser's RAM, intercepting and masking sensitive identifiers before they are transmitted over the internet, ensuring true zero-trust security.

How does the Secure Workspace differ from the Browser Extension?

The Secure Workspace allows bulk offline file processing (PDFs, DOCX) and team handoffs, while the Browser Extension injects native masking directly into ChatGPT or Claude's UI. Both are included in our zero-trust ecosystem.

What is the PII MCP Server used for?

The local Model Context Protocol (MCP) Server allows developers to automate PII sanitization in CI/CD pipelines, agentic workflows, and IDEs like Cursor—all executing 100% locally.

What Academic Professionals Send to AI — and What They Should Be Sending Instead

Why Academic Compliance Teams Flag Unmasked AI Prompts

How to Use AI on Real Academic Data — Without Sending a Single Real Name

PrivacyScrubber acts as a Private Shield for your chatbot conversations, using either our web dashboard or the Chrome Extension. It identifies names, phone numbers, and other details in the browser, replacing them with placeholders like [NAME_1]. This corresponds with the methods in university AI dashboards, protecting your identity while keeping the AI smart. The Chrome Extension adds a shield button directly in ChatGPT, Claude, and Gemini to automate redaction and restoration. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of ChatGPT for writing assistance, AI literature review tools, and research analysis platforms for "academic interview translation AI" workflows without introducing external risk.

Is PrivacyScrubber safe for academic interview translation AI, reveal translations, research privacy LLM, restore transcript PII?

Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with academic interview translation AI, reveal translations, research privacy LLM, restore transcript PII, no sensitive data ever leaves your device or touches a cloud server.

How does it handle custom data structures for academic?

Our engine includes 22+ built-in industry profiles optimized for academic data. Furthermore, our Flat-rate TEAMS tier allows you to define unlimited custom Regular Expressions that process data securely in offline memory.

Academic Hub

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Ensure HIPAA compliance in academic research. Mask Patient Health Information (PHI) and PII in clinical trial datasets before AI analysis. Includes Flat-rate TEAMS pricing and Zero-server architecture.

academic

Redact Student Records for FERPA-Compliant AI

Keep your educational institution compliant with FERPA. Redact student IDs, names, and grades from transcripts before using ChatGPT for grading or analysis. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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Protect participant identities in research studies before using AI writing tools. PrivacyScrubber anonymizes participant information locally to protect unpublished work. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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Doctoral researchers using AI must protect participant data. Local protection prevents IRB violations. Includes Flat-rate TEAMS pricing and Zero-server architecture.

academic

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De-identify clinical trial participant data locally before AI-assisted analysis. Our 100% local browser engine ensures zero PHI exposure for IRB compliance. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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FERPA prohibits sharing student records with third parties. Local AI protection keeps you compliant. Includes Flat-rate TEAMS pricing and Zero-server architecture.

View all 8 Academic guides

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