In traditional enterprise architecture, no application is allowed to execute privileged actions without passing through layers of policy enforcement, access validation, logging, and governance.

Behind every AI-generated response is a complex system of rules designed to control what these systems can and cannot say.

The rise of artificial intelligence in 2025 was historic by any measure, and its widespread adoption has forced debate and policy to come together quickly to help with safe, fair use and governance.

Veeam’s Agent Commander turns backup into an AI-era command center, giving enterprises the guardrails, visibility, and ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

New protections inspect documents, metadata, prompts, and responses before AI models can be manipulated Indirect prompt ...

Generative AI is rapidly becoming a new interface to your organization. It drafts, summarizes, answers, recommends and increasingly triggers actions through workflows and tools. That shift creates a ...

Cybersecurity researchers have demonstrated a method to circumvent safety guardrails embedded in widely used generative artificial intelligence systems, raising concerns about the reliability of ...

ARTIFICIAL INTELLIGENCE IS A HOT TOPIC AT THE IOWA STATE HOUSE. THERE ARE SEVERAL BILLS TO REGULATE IT. MOVING THROUGH BOTH CHAMBERS. AND TODAY, INDUSTRY EXPERTS ADVISE THOSE ELECTED LEADERS ON HOW TO ...