As enterprise AI shifts from experimental pilots to critical infrastructure, security leaders are discovering that their existing tools are broken. "Shadow AI" assets evade standard inventory checks; static API scanners miss complex, agentic vulnerabilities; and traditional WAFs are powerless to stop prompt injections in real-time.

You cannot secure what you cannot see, you cannot trust what you haven't stressed, and you cannot control what you cannot block.

In this whitepaper, "The Paradigm Shift: A Three-Phase Approach to Enterprise AI Security," we present a unified strategy to close these gaps, moving beyond fragmented point solutions to a continuous, closed-loop defense.

Inside, you will learn:

• How to Conquer Shadow AI: Why manual inventories fail and how to build a dynamic AI Asset Inventory that maps not just your models, but the sensitive data and internal tools they secretly access.

• Think Beyond the API: Why standard scanners miss 90% of risks, and the case for Autonomous Browser-Based Red Teaming to expose deep logic flaws.

• Operationalize The Self-Healing Loop: Moving from "detect" to "protect" with Adaptive Runtime Guardrails that instantly convert red team findings into active, blocking defenses.