AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic ...

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 ...

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

Start with a governance framework. From automating workflows ... tool usage is essential for spotting unauthorized access or inappropriate data usage. Monitoring can help identify violations ...

“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 ...

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 ...

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

It eliminates the need for disparate, siloed solutions by combining the capabilities of DSPM, DLP, data access governance, AI model governance, privacy, data retention and more — all within a ...

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

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 ...

Active governance for real-time protection ... With Rubrik Annapurna, we’ve already built a framework that combines data access and data security with AI. Our goal is to advance data security ...