[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All skill tests](https://jobicy.com/tests.md) Skill assessment # Prompt Injection Detection and Mitigation Skills Test Evaluate the ability to identify, contain, and respond to prompt injection risks in generative AI workflows. The test focuses on protecting instructions, data, tools, and users from untrusted model inputs. [Start the test](#test-start) Share Assessment setup Ready ## Choose the level that matches your current experience. * 01 Basic Available * 02 Intermediate Available * 03 Advanced Available Instant result Review your score after submission 20–30 Questions per assessment 15–45 min Estimated completion time 3 levels Choose your difficulty Generative AI & Prompting [View category](https://jobicy.com/test-category/generative-ai-prompting.md) Start assessment ## Choose your level and begin. Answer without outside help so the result reflects your current knowledge. You will see your score after completing the selected assessment. Prompt injection can cause an AI system to ignore intended instructions, expose sensitive context, misuse connected tools, or produce unsafe actions. Effective mitigation combines clear trust boundaries, constrained tool access, structured data handling, output validation, and continuous monitoring. This assessment examines practical decisions for designing and operating systems that handle untrusted content. Basic Intermediate Advanced This is a demo version of the test. You may attempt up to 3 questions. To take the full test and save your results, please [log in](https://jobicy.com/dashboard-page.md) or [create an account](https://jobicy.com/dashboard-page#tab2.md). This is a demo version of the test. You may attempt up to 3 questions. To take the full test and save your results, please [log in](https://jobicy.com/dashboard-page.md) or [create an account](https://jobicy.com/dashboard-page#tab2.md). This is a demo version of the test. You may attempt up to 3 questions. To take the full test and save your results, please [log in](https://jobicy.com/dashboard-page.md) or [create an account](https://jobicy.com/dashboard-page#tab2.md). Test details ## Know what to expect. Review the instructions, covered skills, example question themes, and intended audience before beginning. 01 ### Instructions and covered skills Read each scenario carefully before selecting a response. Stay focused on the stated trust boundary, system behavior, and requested action. Turn off notifications and avoid rushing through security-related wording. Choose the option that most directly reduces prompt injection risk while preserving the intended workflow. Treat external text, retrieved documents, and user-provided files as potentially untrusted. Review your selections for assumptions about tool permissions, sensitive data, and model authority before submitting. ### Key Areas This test covers the practical safeguards used to reduce prompt injection risk in applications built with generative AI. Candidates should be able to distinguish trusted application instructions from untrusted user messages, retrieved documents, web pages, emails, attachments, and tool results. They should understand that untrusted text may contain commands intended to override policy, redirect model behavior, extract hidden context, or trigger inappropriate actions. Key areas include instruction hierarchy, trust labeling, retrieval-augmented generation boundaries, and isolation of external content. Candidates should recognize when text should be treated as data rather than as executable direction. They should also understand the value of structured prompts, constrained output formats, explicit tool schemas, and server-side enforcement of authorization rules. The assessment also addresses tool-use controls. These include least-privilege permissions, allowlisted actions, parameter validation, confirmation steps for consequential operations, and separation between model recommendations and application execution. Logging and monitoring are included because suspicious requests, rejected actions, unexpected tool arguments, and unusual instruction patterns provide useful signals for investigation. ### Recommended Preparation Review how system instructions, developer instructions, user content, and retrieved content are handled in an AI application. Practice identifying attempts to override instructions, request hidden prompts, exfiltrate confidential information, or manipulate connected tools. Study designs that pass retrieved content in clearly delimited fields and instruct the model to summarize or cite it without following commands contained within it. Prepare by examining tool-call workflows from end to end. Consider which permissions are required, which parameters must be checked by deterministic code, and when human approval is appropriate. Review incident-response practices such as preserving request traces, redacting sensitive logs, blocking repeated malicious patterns, and testing mitigations against representative attack samples. 02 ### Examples of questions 1. What is a common indicator that retrieved text contains a prompt injection attempt? 2. Why should a model not receive unrestricted credentials for an external tool? 3. Which boundary separates trusted system instructions from untrusted document content? 4. What validation should occur before a model-triggered payment action? 5. How can structured tool parameters reduce injection-related risk? 6. What should an application do when an uploaded document requests hidden instruction changes? 7. Why is output filtering alone insufficient for prompt injection defense? 8. Which logging detail helps investigate a suspected tool-use manipulation? 9. How should a retrieval pipeline label content obtained from external sources? 10. What is the safest response when a model requests a permission it was not granted? 03 ### Who this test is best for AI product managers, prompt engineers, application developers, security practitioners, and operations teams working with generative AI systems. Related assessments ## Continue with a similar skill test. Explore assessments from the same professional area to compare adjacent skills and build a broader picture of your knowledge. [Generative AI & Prompting 3 levelsGenerative AI Structured Output and JSON Schema Prompting Skills TestEvaluate the ability to prompt generative AI systems for reliable, machine-readable responses. 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