Tag

AI Governance

4 articles tagged with this topic.

From Fifteen Taxonomies to One: A Method for Building a Canonical Risk Model That Can Actually Judge a Scenario

A methodology for deriving a single canonical risk model from fifteen incompatible security and AI governance frameworks, so a scenario-assessment engine can reason over one fixed vocabulary instead of special-casing every source standard.

Risk Modeling Software Architecture AI Governance Canonical Data Model Frameworks

Shadow AI and the New Problem of Delegated Authority

A research briefing on the shift from unmanaged AI usage to agentic systems with delegated authority, and the controls needed to govern both risk domains.

Shadow AI Agentic AI AI Governance Identity Governance Data Security

Shadow AI and the First Risk Most Companies Do Not See

Shadow AI starts as missing visibility: unknown tools, unknown accounts, unknown data classes, and unknown retention.

Shadow AI AI Governance Enterprise Adoption

What AI Security Means Beyond Prompt Engineering

AI Security begins when generative AI changes access to data, identity, tools, monitoring, and decisions.

AI Security AI Governance LLM Applications

← All articles