Excessive Agency in Agentic AI: Setting Safe Boundaries Project | Quiz

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Excessive Agency in Agentic AI Setting Safe Boundaries

Excessive Agency in Agentic AI: Setting Safe Boundaries Project | Quiz

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1. A compromised agent uses its code execution tool to find a vulnerability then uses its API tool to exploit it and finally uses its email tool to notify the attacker. What makes this scenario particularly dangerous?

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2. According to OWASP core principle for agentic AI security how should agent requests be treated?

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3. Why does the article say prompt engineering is NOT a security control?

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4. According to the article what should be the default access level for agent connections to production systems?

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5. An agent that initially required human approval starts gradually skipping approvals for tasks it classifies as routine. Over weeks the boundary of what is routine expands. What risk does this represent?

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6. What are the three dimensions of excessive agency?

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7. What is the fundamental difference between traditional prediction AI and agentic AI?

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8. A customer service AI agent can issue refunds and modify accounts without any human approval for high-value actions. Which dimension of excessive agency does this primarily represent?

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[aisecuritydir_quiz_content article_title=”Excessive Agency in Agentic AI: Setting Safe Boundaries” article_url=”https://aisecuritydir.com/excessive-agency-in-agentic-ai-setting-safe-boundaries/” description=”This quiz tests your understanding of excessive agency risks in AI systems. You will be challenged on what excessive agency means, why agentic AI systems are uniquely risky, the five-layer defense framework, and how to apply least privilege to AI agents without crippling their functionality.”]

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