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Most security controls for AI agents are fundamentally inadequate — and in today's rapid AI evolution, that gap is a ticking time bomb. Jeremy Grant, founder of Rivaro, exposes how traditional defenses fall apart when agents act autonomously, risking data leaks, compliance violations, and costly breaches. He reveals the breakthrough approach of real-time enforcement and dynamic policy control designed specifically for AI, turning security from a bottleneck into an enabler of innovation. How to build an AI control plane that provides traceability and auditability in real time The importance of securing agents directly rather than just their data or models Strategies for managing the unpredictable costs of AI-driven automation Why traditional security controls are obsolete for autonomous AI, and what replaces them If you're a CTO, security leader, or AI innovator visit rivaro.ai to see how this platform is redefining AI security. Whether you're deploying your first agent or managing an ecosystem of autonomous systems, this episode is essential listening to understand how to control AI risks before they control you. 0:00 - Introduction & Guest Background 1:15 - The AI Control Plane Concept 2:25 - Building with AI: Prototyping and Coding 4:35 - Cost Management and Tool Selection 7:10 - Revaro's Focus on AI Security 10:04 - Data Risk and Compliance 14:19 - Future of AI: Agent Interactions 17:16 - Safe Deployment and Risk Management 20:01 - AI in Back-office Operations 23:05 - Closing Remarks and Contact Information Keywords: #JeremyGrant, #Rivaro, #aidefense , #ai, #deeplearning, #security, #leadership #aicosplayer #aiagents