Respeecher Enterprise Risk Assessment | AI Tool Risk

Back to AI Tools

Respeecher

Risk Overview

Moderate Risk

4.1

/10

Audio Generation

Voice Cloning

Top Risks

Respeecher's headquarters in active conflict zone (Kyiv, Ukraine) creates geopolitical and operational data sovereignty risk, particularly given the biometric sensitivity of voice recordings and absence of explicit public retention timelines. Data retention policy lacks specific deletion guarantees post-project completion, leaving voice biometric data longevity uncertain despite consent-first intake model.

Mitigations

Require explicit written data-deletion clauses in project agreements specifying voice model deletion timelines and audio destruction post-production. Verify Respeecher's operational redundancy and backup policies outside conflict zones before processing sensitive voice talent recordings; request a Data Processing Agreement (DPA) clarifying GDPR/CCPA compliance and data location guarantees.

Get started

Is your team using

Respeecher

safely?

Book a Demo Free Assessment

Highest Risk Categories

The highest-scoring risk categories identified in this assessment.

Data Sovereignty

Primary headquarters in Kyiv, Ukraine — an active conflict zone with significant geopolitical risk. While Respeecher maintains US operations in Burbank, CA, the Ukrainian domicile creates data sovereignty uncertainty. Ukrainian data protection law (based on EU model) applies, but enforcement stability during ongoing conflict is uncertain. US CLOUD Act applies to US operations. This is the highest sovereignty risk in this batch due to active conflict zone headquarters.

/10

Data Retention

No specific public retention timeline for voice models or project audio after project completion. Respeecher's business model is project-based (entertainment industry voice cloning) — data may be retained for the life of the project or franchise. No zero-retention mode or immediate deletion guarantee published. This is a gap given the biometric sensitivity of the data.

/10

Training Use

Client audio data is used exclusively to train that client's AI voice model — not shared across customers or used for general model improvement per their ethics policy. Explicit consent required from voice owners (including celebrities and voice actors) before any voice is used. Speaker verification via Resemblyzer ensures consent-voice matching. Biometric voice data is anonymized and securely stored. Strong consent-first model but training on client data does occur.

/10