Visible Speech (VISP) is a web-based research infrastructure hosted at Humlab, Umeå University, designed to enable secure and efficient research on audio recordings of speech. VISP addresses the dual challenge of facilitating advanced linguistic and interdisciplinary research while ensuring compliance with GDPR and Swedish legal requirements for handling personally identifiable and sensitive data. The platform provides a unified environment for storage, controlled access, and reproducible signal processing of speech data, offering one of the most comprehensive sets of speech and voice analysis tools globally. VISP integrates with the Swedish Academic Identity Federation (SWAMID), enabling federated login for researchers across Sweden and supporting collaborative workflows without compromising data security. This allows the processing and analysis of sensitive recordings—such as those involving ethnicity, health, or union membership—within a secure digital framework. Beyond analysis, VISP promotes long-term data stewardship by implementing standardized directory structures and supporting FAIR principles, thereby lowering barriers to archiving and data sharing. As part of the national research infrastructure, Språkbanken and SweCLARIN, VISP contributes to the European CLARIN ERIC ecosystem, strengthening Sweden’s position in digital and experimental humanities. By combining a dedicated software framework, external security reviews, and national identity federation, VISP enables researchers to explore spoken language data in ways previously unattainable, fostering innovation and collaboration across disciplines.