Original press release published here.

NEW YORK –July 28, 2025 - BigID, the leading platform for data privacy, security, compliance, and AI governance, today announced new AI-powered capabilities that enable organizations to automatically discover and classify sensitive data, detect cross-border data transfer risks, and proactively remediate compliance gaps before they become violations.

With new and evolving regulations, from the EU's GDPR and Brazil's LGPD to emerging U.S. cross-border data restrictions, organizations need to know exactly where sensitive data lives and how it moves. BigID's data mapping enables teams to discover and map sensitive data, identify cross-border transfers, help enforce residency policies, and proactively close compliance gaps across every regulation.

Key capabilities include:

• AI-Driven data discovery, classification, and mapping for confidential and personal data across structured, semi-structured, and unstructured sources—on-premises and in the cloud.

• Shape and enforce data policies that align with evolving global privacy, residency, and sovereignty mandates.

• Detect and surface cross-border transfer risks, including data that could be exposed to jurisdictions with restrictive or conflicting regulatory frameworks.

• Proactively remediate risks with AI-guided actions, reducing compliance gaps and supporting audit-ready documentation for regulators and stakeholders.

"Organizations today face an unprecedented wave of global data regulations, with data residency, sovereignty, and cross-border transfer requirements only growing more complex," said Dan Hansen, Advising Director at BigID. "Our enhanced automated data mapping empowers privacy teams to discover and map sensitive data, identify cross-border transfers, and enforce residency policies to proactively close compliance gaps across regulations."

BigID's unified platform provides privacy and compliance leaders with the continuous intelligence, automated controls, and audit-ready documentation to help manage global data obligations with confidence, in an evolving regulatory landscape, regardless of where data resides.

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