This blog explores how adversaries exploit goal manipulation in agentic AI systems, categorizing risks into three distinct pathways: Gradual Goal Drift, Malicious Goal Expansion, and Goal Exhaustion Loops. Each represents a fundamentally different method by which an attacker bends the autonomy of an AI agent against the system owner.

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