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Pangram

pangram.com
◐Moderate Risk
Updated October 12, 2026

Pangram is an AI-content detection tool positioned primarily for educators, content moderators, and publishers, placing it predominantly in the edtech sector with enterprise-SaaS characteristics. The single analyzed document (a Privacy Policy, supplied in English and Spanish versions) is notably user-favorable: it states that submissions are not retained outside contractual obligations, are not used to train Pangram's models, do not grant ownership to Pangram, and are not sold or shared for advertising. It explicitly addresses FERPA and COPPA — frameworks relevant to its education sector — and extends U.S. state privacy rights to all U.S. residents. The principal weaknesses are the absence of any named third-party security certifications (SOC 2, ISO 27001), reliance on only 'reasonable efforts' security language, no breach-history disclosure, and the fact that only one policy type was retrievable, making cross-document consistency checks impossible and leaving enterprise/DPA terms unverified.

AI Transparency Facts

Independent analysis by TermsWatchdog · © 2026 TermsWatchdog

Input Data Ownership

Low Risk

The policy expressly states that user submissions do not grant Pangram ownership and remain the user's. This is a strongly user-favorable position on input data ownership.

Confidence
85%

Output Data Ownership

Moderate Risk

The policy addresses input ownership and disclaims any 'indefinite, perpetual royalty,' but it does not clearly state who owns the AI-detection results/output generated by the Service. Because the document is silent on output ownership specifically, confidence is lowered and the rating reflects that ambiguity.

Confidence
40%

Training Data Usage

Low Risk

The policy repeatedly and explicitly commits that user submissions are not used to train, develop, refine, or improve Pangram's AI or machine learning systems, stating instead that outside datasets are used for training. This is among the most user-favorable training-use positions possible.

Confidence
92%

Data Retention & Deletion

Low Risk

The policy provides a concrete deletion timeline — content submitted to registered accounts is securely deleted within 30 days of account closure — and offers deletion requests via a dedicated privacy email. It does not, however, specify security-related audit-log retention schedules or a deletion SLA for individual requests, and notes that query records are retained for billing/analytics even after a user deletes query details.

Confidence
78%

Third-Party Data Sharing

Low Risk

The policy states Pangram does not sell or share personal information and limits third-party disclosure to trusted vendors (e.g., AWS, Stripe, Twilio) bound by confidentiality and used only to deliver the service. Business transfers and legal-compliance disclosures are disclosed as exceptions, which is standard. Sharing appears disclosed and limited to what the service requires.

Confidence
80%

Opt-Out Rights

Moderate Risk

Users can unsubscribe from marketing emails, reply STOP to text messages, and delete query details from their history. However, the policy notes Pangram does not honor Do Not Track signals, and most consumer-rights requests must be routed through the Customer institution rather than exercised directly by end Users, limiting individual control.

Confidence
70%

Compliance & Certifications

Moderate Risk

For its edtech sector, the policy explicitly addresses FERPA (acting as a School Official) and COPPA, and asserts CCPA/CPRA service-provider status plus extension of state privacy rights to all U.S. residents. However, these are claimed/aligned positions with no third-party attestation, and the policy is silent on SOC 2, ISO 27001, ISO 42001, GDPR, and the EU AI Act. No audit reports or certificates are referenced, so the overall posture is 'claimed' rather than 'certified.'

Confidence
65%

Model Explainability & Auditability

Moderate Risk

The privacy policy does not address model explainability, auditability, or enterprise audit rights into model behavior. The product is an AI classifier whose outputs carry significant consequences (e.g., academic integrity), yet the policy is silent on transparency mechanisms, so confidence is lowered and silence is treated as a risk signal.

Confidence
30%

Security Practices & Breach History

Moderate Risk

The policy describes only generic 'reasonable efforts' with physical and electronic safeguards and explicitly disclaims any guarantee of security. It does not disclose encryption at rest/in transit, access controls, penetration testing, bug bounty, or incident response, references no trust center or security page, and makes no breach-history disclosure. The absence of specifics is itself a risk signal.

Confidence
55%

Enterprise vs. Consumer Risk Delta

Moderate Risk

The policy distinguishes the Free Service (raw text content for AI detection is collected) from Registered Customers (submissions plus metadata such as submission date and user ID), and ties the 30-day deletion commitment to Customer accounts. However, no enterprise agreement or DPA was retrievable, so differences in retention, training carve-outs, or security between tiers cannot be fully assessed.

Confidence
50%

Human Review of User Inputs

Moderate Risk

The policy reserves the right for Pangram staff to access user submission data to diagnose and fix reported support issues. This access is scoped to support/troubleshooting rather than general review, but it does confirm staff can read user inputs under certain conditions.

Confidence
72%

Regulatory & Litigation Exposure

Moderate Risk

The policy discloses that Pangram will share personal information in response to legal processes and enforceable governmental requests, and in connection with business transfers such as mergers or acquisitions. There are no references to specific litigation, government data-request volumes, or transparency reporting, so the disclosure is standard but limited.

Confidence
60%

PII & SPI Data Inventory

Moderate Risk

Pangram collects a range of PII — name, email, password, place of employment, phone number, IP/general location, device information, usage data, and cookies — plus the full content of submitted text, URLs, and messages, which may itself contain sensitive material. Payment data is handled via Stripe without storing full card details. Because student data and free-text submissions (potentially including SPI) are processed, but with clear disclosure, purpose limitation, and no advertising use, a YELLOW rating is appropriate.

Confidence
72%

Policy–Product Currency

Moderate Risk

The Privacy Policy is dated 'Last Updated: August 14, 2025,' roughly 14 months before the analysis date, placing it in the 12–24 month window. It covers core AI-detection data flows, third-party vendors, and an explicit no-training commitment, which aligns with the AI-first product surface. It does not name specific third-party model providers whose outputs it detects (though as a detector it does not integrate them), and the slightly stale date caps this at YELLOW.

Confidence
65%

Cross-Document Consistency

Moderate Risk

Only one policy type (the Privacy Policy) was retrievable, supplied in English and Spanish versions of the same document; the Terms of Service, DPA, and enterprise pages were inaccessible. A genuine cross-document consistency check across different document types is therefore impossible. The English and Spanish versions appear substantively aligned, and no contradictions are reported. Confidence is capped low to reflect the single-document-type limitation.

Confidence
25%

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