Enterprises store most of their sensitive data in unstructured documents. Without automated anonymization, that data is a compliance liability. Learn how Maya FileSafe solves this at scale.

Maya Data Privacy was present at the India AI Impact Summit 2026 in New Delhi, one of the largest AI gatherings ever held. Here is what we saw, what we demonstrated, and why it matters for the future of responsible AI.

Two approaches promise privacy-safe AI training data. Only one reliably handles enterprise complexity, regulatory scrutiny, and real-world data fidelity. Here's the honest comparison.

AI thrives on data — but most enterprise data is locked away in unstructured files, legacy systems, and compliance risk. Here's how to unlock it without compromising security or trust.

Compliance isn't a checkbox — it's a currency of trust. Maya is now ISO 27001:2022 certified, giving enterprises regulator-ready proof that their data privacy is world-class.

SAP, Pfizer, Adobe, PepsiCo — and Maya. Here's what we took away from SNP Transformation World 2025 in Heidelberg: why clean, anonymized data is the foundation of every successful digital transformation.

Twenty years of healthcare innovation in Mecklenburg-Vorpommern — and the conversation is more urgent than ever. Here's what Maya took away from Rostock on health data, AI, and European collaboration.

What happens when SAP consultants, data scientists, and DPOs get hands-on with anonymization? Real insights from DSAG TechXchange 2025 — and what they revealed about enterprise data privacy readiness.

AI in healthcare is expected to play a major role in redefining the way we process healthcare data, diagnose diseases, develop treatments and even prevent them ...