
EC-CouncilCertified Offensive AI Security Professional
Domain 5Objective 3
Agentic AI and Model-To-Model Attacks COASP Practice Questions (Page 1)
Part of the Data Pipeline and Agentic AI Attacks domain, which makes up ~15% of our current practice bank.
41questions here
9free pages
5concepts
Questions 1–5
- 1
A security analyst is reviewing the architecture of an agentic AI system that includes a planning model, a memory store, and a web search tool. The analyst wants to identify where an attacker could inject malicious data that would persist and affect future actions. Which component is the primary target?
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A company has an agentic AI system that uses a public LLM to generate responses and a private model to summarize internal documents. The security team wants to prevent the public LLM from leaking internal data. Which mitigation is most effective?
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An attacker compromises a third-party API that an agentic AI system uses to fetch weather data. The attacker modifies the API responses to include malicious instructions that cause the agent to send sensitive internal files to an external server. Which type of attack is this?
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Which defensive technique is most effective in preventing prompt injection attacks in an agentic AI system?
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Which ethical principle is most directly challenged by an offensive AI attack that manipulates another AI system to cause harm?
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