Securing Converged AI-Blockchain Systems: Introducing the MAESTRO 7-Layer Framework

Introduction

When an AI trading agent exploits a smart contract vulnerability, financial firms can lose millions in seconds. In 2024 alone, more than $1.42 billion vanished through smart contract exploits, with AI-enhanced systems showing particularly troubling weaknesses that traditional security frameworks simply cannot address.

As blockchain and AI technologies converge, they create entirely new attack surfaces that existing methodologies like STRIDE and MITRE ATT&CK weren’t designed to handle. Through my experience securing enterprise systems processing trillions in assets, I developed the MAESTRO framework — Multi-Agent Environment, Security, Threat, Risk, and Outcome — as a practical, seven-layer approach specifically designed for AI-blockchain convergence.

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