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

Gartner predicts that by 2028, 50% of organizations will have had to adopt a zero-trust posture for data governance as a ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI-generated data, often known as AI slop.

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

A practical blueprint for companies and CEOs that shows how to secure agentic systems by shifting from prompt tinkering to hard controls on identity, tools, and data.

Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited ...

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 ...

AI is changing private markets, as it won’t excuse weak data but amplify it. If the underlying data is inconsistent, poorly ...

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

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