Abdullah
Bin Zarshaid
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AI & agent security

AI & agent security
A practical first review.

Review the purpose of an AI feature, the data it receives, the actions its tools may perform and the evidence needed for release. A model instruction is not a substitute for authorization at the service performing an action.

FOR TEAMS DEPLOYING AI ASSISTANTS AND AGENT-ENABLED WORKFLOWS

The decision this helps prepare

What must be controlled before the system is permitted to take consequential actions?

What the review covers

  • Purpose
  • Data
  • Authority
  • Evaluation

Useful information to have nearby

  • A list of tool permissions and approving owners
  • A data-flow and retention review
  • Synthetic negative-case tests and release criteria

Use references and non-sensitive summaries. Do not paste account credentials, private client records or raw vulnerability evidence.

Example questions

  • Is each AI use case inventoried with an accountable owner?
  • Does retrieval enforce the requesting user’s access?
  • Can agent credentials be revoked quickly?

After the review

Start with a limited action boundary and test both permitted and denied behavior using synthetic data.

Review unknown answers, save a local snapshot, export a report or make a current-to-target plan. You can use the result without sending a message.

Scope and reference

12 original prompts for AI-enabled applications. No model testing, certification, exhaustive OWASP mapping or legal applicability determination.

Questions are original. The reference provides context and does not endorse this website.

Read the reference
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