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AI / Agentic AI Interview Questions

List the common risks associated with deploying agentic AI?
  • Prompt injection and context poisoning: malicious instructions hidden in content the agent processes
  • Tool injection: manipulated tool metadata tricking the agent into harmful actions
  • Data leakage: sensitive information exposed through tool calls or memory persistence
  • Unauthorized persistence: memory stored longer, or in the wrong scope, than intended
  • Limited observability: difficulty understanding what an agent remembers and why it made a given decision
  • Compounding errors: small mistakes early in a multi-step task snowballing into a badly wrong final result

Most mitigations center on strict access controls, scoping and namespace boundaries, logging and audit trails, and retention policies, treating the agent's tool and memory access the same way you'd treat any other privileged system component.

What risk involves memory being stored longer or in the wrong scope than intended?
What do most mitigations for these risks center on?

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