AI governance programs across enterprises are rapidly maturing. Policies are being written. Risk assessments are being performed. Frameworks like the EU AI Act, NIST AI RMF, and ISO 42001 are being mapped. Yet in practice, a growing gap is emerging: governance expectations are moving faster than the technical control capabilities
Why IAM is failing, why Agent Registry is the missing layer, and why enterprises need a new identity model for autonomous AI agents The Cloud Security Alliance (CSA) recently released its Securing Autonomous AI Agents report, and the findings are unambiguous: enterprises are deploying agents faster than they can govern
Why Representational Assurance is becoming the missing governance layer in agentic commerce AI commerce is evolving faster than most organizations can comprehend. In the last few weeks alone: * Google expanded its Universal Commerce Protocol (UCP) to Etsy and Wayfair * AI‑referred traffic surged 693% over the holiday season * Microsoft published
AI systems are now describing your organization to customers, partners, and enterprise buyers every day. When someone asks an AI assistant about your products, services, competitors, pricing, market position, or regulatory posture, the response they receive often becomes their first impression of your organization. These AI-generated representations are increasingly
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