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This paper presents a comprehensive survey on the cybersecurity challenges and defense mechanisms for trustworthy agentic AI systems, covering threat landscapes, architectures, and open research issues.
This paper introduces the Agent-Native Immune System (ANIS), a biologically inspired, endogenous defense architecture embedded directly within the agent's cognitive loop. It proposes a six-layer Immune Tower, a unified taxonomy of Agent Viruses and Vaccines, and the Harness Triad for continual immune learning to address runtime hijacking vulnerabilities in autonomous agents.