Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

The COVID crisis has shown that ethical and effective uses of data and increased sharing of data can save lives and can be critical for society as a whole (by contrast to the use of data made by ...

Governing AI Agents and Non‑Human Identities in Oracle, SAP, and Business‑Critical SaaS A Federated Control Plane for Human and Non‑Human Identities in SOX/ITGC‑Governed ERP Environments Executive ...

Deepak Yadav is an Engineering Leader at Amazon, Data & ML expert, ex-Ask.com, formerly with Amdocs, and Data Influencer. Over the years, I’ve worked with organizations across industries—financial ...

A Federated Control Plane for Human and Non‑Human Identities in SOX/ITGC‑Governed ERP Environments Executive summary AI is now a first‑class operator in ERP and SaaS, but most control frameworks still ...

A blended approach combines centralized policy compliance with decentralized flexibility. In association withCapital One Data governance has historically been a serious bottleneck for analytics. While ...

Technology and AI governance remains a top concern for corporate directors and executives in 2025 relative to safeguarding data, managing new technologies, and ensuring the necessary skills in the ...

This section provides step-by-step guidance for getting started with data governance – how to assess the current situation, establish goals, and create a roadmap tailored to the agency’s needs. There ...

Data governance is an umbrella term encompassing several different disciplines and practices, and the priorities often depend on who is driving the effort. Chief data officers, privacy officers, ...