New Prompt Injection Techniques Cover Agent-Planning Attacks

CrowdStrike’s updated Prompt Injection Taxonomy expands to 222 techniques and emphasizes that attacks against AI agents increasingly target planning, reasoning, memory, and tool use rather than simply bypassing input or output filters. It identifies Goal Decomposition Exploitation, which manipulates an agent’s subtasks to make harmful actions appear necessary, and Constraint-Driven Task Steering, which forces an agent toward attacker-selected fallback actions; a hypothetical debugging scenario illustrates how apparently routine steps could lead to credential-bearing configuration files being sent externally. Additional techniques include Output Exclusion Prompting, which suppresses safety-related response language, and Session State Spoofing, which injects false system history or approvals. The taxonomy also classifies attacks by stages of a reasoning pipeline, including control structures, logical evaluation, attention capacity, and output generation, to help defenders map threats to specific attack surfaces. It argues that securing agentic systems requires visibility into complete action sequences and runtime controls, and presents CrowdStrike Falcon Guardian as a tool intended to link prompts, agent behavior, endpoint activity, and resulting impact.

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