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Enterprise AI


How to Automatically Anonymize PII in PDFs, Word, and Excel Documents at Enterprise Scale
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.

Aaloka Anant
2 days ago5 min read


How to Prevent Sensitive Data from Leaking into ChatGPT and Enterprise LLMs
77% of employees use generative AI tools at work, often pasting sensitive data into ChatGPT without realizing the risk. This guide covers five practical steps to prevent data leaks, from policy and training to deploying a privacy gateway that de-identifies PII in real time before prompts leave your environment.

Abhinava
3 days ago7 min read


Maya Data Privacy at the India AI Impact Summit 2026: Representing Privacy on a Global Stage
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.

Ben Ramhofer
3 days ago2 min read


The Best Tool for Anonymizing SAP Test Data While Keeping Referential Integrity
Most enterprises running SAP S/4HANA or ECC have real production data sitting in their QA systems. Here is how to anonymize SAP test data correctly, preserving referential integrity across all systems, and why Maya AppSafe™ is the strongest solution available today.

Ben Ramhofer
6 days ago8 min read


80% of enterprise data sits unused: privacy is the reason, anonymization is the fix
Enterprises are sitting on a goldmine of data — but 80% of it never reaches an AI model. The reason is privacy. The fix is anonymization. Here is how leading organizations are unlocking their most sensitive data for AI, safely and compliantly.

Ranbir Sagar
Feb 74 min read


Anonymized data vs. synthetic data: which one actually works for enterprise 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.

Ranbir Sagar
Feb 34 min read


Unlocking Enterprise Data for AI without Compromising Security or Trust
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.

Edward Somgal
Oct 13, 20252 min read


Transformation World 2025 Event | SNP Heidelberg
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.

Shubhra Biswas
Jul 8, 20252 min read


20 Years of National Conference on Health Economy in Mecklenburg-Vorpommern – A Region Setting the Pace for the Future
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.

Ben Ramhofer
Jun 15, 20254 min read


Real-World Insights from #DSAG #TechXchange: Bridging Data Privacy and SAP Transformation
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.

Abhinava
May 8, 20253 min read


AI & Healthcare: Protecting Patient Data in the AI Era
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 ...

Aaloka Anant
Apr 25, 20253 min read
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