This issue highlights the challenge of aligning an LLM’s “latent ontology” with a company’s “structural ontology” to avoid agent errors, and warns that unmanaged shadow AI magnifies existing governance and security gaps. It also covers Zscaler’s new zero-trust platform for AI agents, Salesforce’s acquisition of m3ter for usage-based billing, and Ivanti’s patch for Sentry vulnerabilities.

The article challenges RDF’s focus on global IRIs, showing how conversational and narrative contexts rely on deferred classification, consensus and scoped definitions rather than fixed identifiers. It outlines approaches—contextual definitions, master data management, local IRIs and self-learning AI—to build flexible, locally scoped ontologies.