"Without a structured way to evaluate the exploding market of AI Usage Control (AUC) solutions, teams risk "investing" in legacy tools that were never built for the age of agentic workflows and shadow browser extensions."
"If you focus on the app, you're always playing catch-up with the 500+ new GPT-based tools launched every week. If you focus on the interaction (i.e., the moment a prompt is typed or a file is uploaded) you gain control that is tool-agnostic."
"A new RFP Guide for Evaluating AI Usage Control and AI Governance Solutions has been released to solve this exact problem. It's not just a checklist; it's a technical framework designed to help security architects and CISOs move from vague "AI security" goals to specific, measurable project criteria."
Security leaders now have budget approval to secure AI systems, yet many organizations struggle to define what AI Governance actually entails. The challenge lies in evaluating the rapidly expanding market of AI Usage Control solutions without clear criteria. A new RFP Guide provides a technical framework to move from vague security goals to specific, measurable requirements. The guide advocates shifting from traditional app-focused security approaches to interaction-level inspection, which addresses the fundamental problem that new AI tools launch constantly. By focusing on interactions—such as prompts and file uploads—rather than individual applications, organizations can maintain security without becoming innovation bottlenecks. This approach enables tool-agnostic control that protects data while allowing employee productivity.
Read at The Hacker News
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