Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...

Research reveals growing gaps between AI experimentation and risk patterns as usage deepens across business workflows.

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...

The Taxation Society UAE marked a strong start to 2026 with its first flagship technical event of the year, “The Quiet AI ...

From automated customer service to predictive analytics in healthcare and finance, artificial intelligence has become embedded in everyday life, ...

Large enterprises operating across borders require governance systems that scale with complexity. This article highlights how Ashutosh Agarwal builds analytics-driven frameworks that strengthen ...

Incentive and retention frameworks quietly shape behavior and appetite for risk-taking in the financial markets. EWM Global, ...

Artificial intelligence is no longer a “nice to have” in cybersecurity – it’s embedded everywhere. From detecting suspicious activity to responding to incidents in real time, AI now sits at the heart ...

India’s Economic Survey 2025–26 signals a quiet but significant shift in how AI data may be governed. Here’s what’s changing.