AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

As more businesses incorporate AI agents into their operations, visibility and auditability around their usage is critical to building acceptance and trust. It’s increasingly apparent that the next ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

ZoomInfo reports that 95% of enterprise AI projects fail to deliver ROI due to inadequate data infrastructure. Successful ...

Illumio’s Raghu Nandakumara gives his insights for ensuring swift, informed cybersecurity decision-making, not unlike that of emergency care.

How Synthetic Identity Fabrics (SIF) create coordinated crime networks causing USD 35B in losses. Experts demand graph-based ...

Biometric technologies, including face and fingerprint recognition, also strengthen identity verification and reduce exposure ...

Building effective agentic solutions requries an ontology-based single source of truth. Ontology is a business definition of concepts, their hierarchy and relationships. It defines terms with respect ...

Access the query editor: You begin in Dune’s query editor, a dedicated environment for writing and executing code. Click “New ...

With AI’s power demands intensifying, SSDs are primed to overtake HDDs as the default choice for maximizing performance, ...

ServiceNow’s $1 billion deal for Veza aims to unify identity governance with workflow automation to control AI agents — a ...

Enterprises across the Asia-Pacific region are expected to prioritise sovereign architectures, double down on securing agentic systems, and rewrite their infrastructure playbooks, among other tech tre ...