10 AI security interview questions and answers for freshers (2026)

More cybersecurity interviews now include one or two questions about AI. For a fresher, nobody expects deep machine-learning knowledge. Interviewers want to see that you understand the main risks and can think like a defender. These are practice prompts, not a list of guaranteed questions.

1. What is prompt injection?

What they want: a clear definition and an example.

Sample answer: "Prompt injection is when someone writes text that makes an AI ignore its original instructions. For example, a user tells a support chatbot to ignore its rules and reveal other customers' details. Because the AI cannot reliably separate instructions from data, we limit what it can access and check its output."

2. What is the difference between direct and indirect prompt injection?

Sample answer: "Direct injection comes from the user typing into the chat. Indirect injection is hidden inside content the AI reads, such as a web page, email or uploaded document. Indirect is harder to spot because the user may be innocent."

3. How would you secure employees' use of tools like ChatGPT at work?

What they want: policy plus technical controls.

Sample answer: "I would start with a clear policy on what data must never be pasted in, such as customer data and source code. Then provide an approved business version with data-retention controls, block unapproved AI sites where needed, and train staff with real examples."

4. What is sensitive information disclosure in an AI app?

Sample answer: "It is when the AI reveals data it should not, because it was trained on it or has access to it. The defence is least privilege: the AI should only reach data the current user is allowed to see."

5. What does "excessive agency" mean?

Sample answer: "It means giving an AI too many permissions or actions. If a bot can send emails or approve refunds without limits, an attacker can trick it into misusing them. Risky actions should need human approval."

6. Why should you not trust AI output directly?

Sample answer: "AI can be wrong, and it can be manipulated. If another system runs the AI's reply as code or a database query, that can become an injection attack. Output should be validated like any user input."

7. What is RAG, and what is its security risk?

Sample answer: "Retrieval-augmented generation lets an AI search company documents before answering. The main risk is access control: if search ignores permissions, a junior employee might retrieve HR or finance files."

8. How is AI used in a SOC?

Sample answer: "It groups duplicate alerts, enriches them with context and drafts summaries. The analyst still verifies the evidence, adds business context and makes the final call."

9. How can attackers use AI?

Sample answer: "To write convincing phishing emails in any language, create deepfake voices for scam calls, and speed up reconnaissance. Defenders respond with verification steps, such as calling back on a known number before approving a payment."

10. If an AI assistant flags an alert as malicious, what do you do?

Sample answer: "I treat it as a lead, not a verdict. I open the raw logs, confirm the evidence, check the impact and only then contain or escalate, writing down my reasoning."

What to do next

• Learn the full risk list in our OWASP Top 10 for LLMs beginner guide.
• Rehearse your answers out loud in a free AI mock interview.
• Revise the core SOC round with what happens in an L1 SOC interview.