Definition · AI in finance
Prompt injection
Prompt injection is manipulating an LLM with crafted input to override its instructions. For prompt injection, the useful boundary is the data it uses, the tools it can call, the approvals it needs, the review standard, and the finance decision it may influence before the output is trusted or automated.
Also known as prompt injection attack, indirect prompt injection
Why it matters
Understanding prompt injection matters because AI-assisted finance work can sound confident even when data, assumptions, or compute paths are wrong. A useful definition keeps the output grounded, reviewable, and accountable. Pluvo grounds analysis in governed, connected data and computes figures deterministically, limiting how much a crafted prompt or document can steer the numbers.
In practice
Governance example
Teams use prompt injection when they evaluate whether an AI-assisted analysis can be trusted. The useful test is whether the output is tied to approved data, repeatable logic, human review, and an audit trail.
Pluvo example
Pluvo grounds analysis in governed, connected data and computes figures deterministically, limiting how much a crafted prompt or document can steer the numbers.
In practice, teams should define prompt injection with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding prompt injection matters because AI-assisted finance work can sound confident even when data, assumptions, or compute paths are wrong. A useful definition keeps the output grounded, reviewable, and accountable. Pluvo grounds analysis in governed, connected data and computes figures deterministically, limiting how much a crafted prompt or document can steer the numbers.
A strong workflow for prompt injection separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.
Pluvo grounds analysis in governed, connected data and computes figures deterministically, limiting how much a crafted prompt or document can steer the numbers.
FAQ
What is a prompt injection attack?
Prompt injection is manipulating an LLM with crafted input to override its instructions. For prompt injection, the useful boundary is the data it uses, the tools it can call, the approvals it needs, the review standard, and the finance decision it may influence before the output is trusted or automated.
How do you defend against prompt injection?
To use prompt injection, start with the decision, then confirm the source data, timing, calculation logic, and owner. The analysis is strongest when a reviewer can trace the answer back to the records that produced it.