Unlock the power of your data with an effective data governance framework for security ... This pillar includes encryption, access control, and anonymization techniques. Data architecture refers ...

While it’s mission-critical, most organizations still haven’t implemented an AI monitoring and risk management platform. What’s the hold up?

This quarter’s column is co-authored with Anthony Mazzarella, a fellow practitioner-academic doing research into what makes ...

Note that many of these are likely already covered in your current risk assessment framework ... rest? Data should be encrypted both in transit and at rest. This prevents unauthorized access ...

The hidden cost of rushing ahead too fast. Agentic AI is the buzzword of 2025. Although technically an “emerging technology,” ...

Adarsha Kuthuru's governance model represents a significant stride in bringing AI ethics into the core of database ...

“Measuring data security and governance effectiveness requires tracking three essential OKRs: time-to-access for data requests ... comes down to what framework and level you select, and then ...

Unstructured data, shadow AI and unclear government regulations are still major hurdles for organizations trying to safely ...

You can now access the asset below. Dive into analytics with confidence using our comprehensive guide: "The Analytics Governance Framework: Securing Self-Service ... thanks to detailed data lineage ...

Once it has received Royal Assent, the DAU Bill establishes the legal footing for the new Office for Digital Identities and ...

On June 6, a handbook on practical lessons in modern corporate governance was launched by the Vietnam Institute of Directors (VIOD) with support from the International Finance Corporation, serving as ...