All Posts

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.

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.

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.

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.

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.

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.

The EU AI Act's most critical enforcement date is less than six months away. On August 2, 2026, the requirements for high-risk AI systems under Annex III become fully enforceable. Penalties for non-compliance can reach up to 35 million euros or 7% of global annual revenue. Yet most enterprises are not ready. According to Gartner, organizations will abandon 60% of AI projects by 2026 due to a lack of AI-ready data. The gap between AI ambition and data readiness has never been

When reports surfaced in early 2026 about Instagram user data appearing outside its expected environment, the immediate question was predictable: Was Instagram hacked? Meta clarified its position. Systems were secure. No confirmed breach.Yet the discomfort didn’t go away. And that reaction tells us something important about how trust works today. The Question Users Actually Care About Most users don’t evaluate platforms based on technical explanations. They ask something far

ISO 27001 proves our security framework is robust by design. SOC 2 Type II proves it works in practice. Together, they give enterprises the double layer of trust they need in an AI-driven world.

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.

The countdown is on for the Cyber Ireland National Conference (CINC25) , taking place on October 9 th , 2025 , at the prestigious...

Leading the Analytics Revolution—With Privacy at the Core.  The Analytics Summit 2025  by the Analytics Institute , one of Europe's most...

Transforming AI Training: Turning Data Risks into Enterprise Resilience Many enterprises rely on real enterprise or production data, such...

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.

New Collaboration Combines Trusted Execution with Advanced Data Anonymisation to Enable Secure and Compliant AI Workloads   Dublin (IE) –...

Best Practices for Using Customer Data Securely in Non-Production Environments The divide between production and non-production...

At Maya Data Privacy , we are thrilled to announce the launch of our latest feature:  In-Place Time Slicing for the FI (Financial...

In an age where artificial intelligence  is shaping decisions from your online shopping cart to your medical diagnosis, concerns about...

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.

In today’s data-driven healthcare systems, patient privacy is non-negotiable. As hospitals digitise clinical workflows using EHRs,...