Securing the Swarm: Governance, Attack Surfaces, and Zero-Trust Architectures in Multi-Agent AI Environments
Enterprise artificial intelligence has evolved from simple Large Language Model prompts to sophisticated multi-agent systems with significant operational autonomy. These advancements enhance software development, supply chain coordination, and threat responses. However, they also create new security vulnerabilities, making traditional methods of identity, data protection, and boundary defense less effective. Organizations must adapt to address these emerging risks effectively.
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