Phishing Report Triage — AI workflow for Malaysian SMEs
Phishing Report Triage turns reported suspicious message metadata/content into risk indicators and escalation advice. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Phishing Report Triage
Create prompt
Create prompt
Create a first-pass deliverable
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me risk indicators and escalation advice. Input from my side: reported suspicious message metadata/content. This is phishing report triage for SMEs without a large internal IT team, so keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “reported suspicious message metadata/content” with your real data.
Analyse prompt
Analyse prompt
Analyse the input and identify the highest-impact insights
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Analyse my phishing report triage data. I will give you reported suspicious message metadata/content. Pull out the five findings that matter most. Rank or quantify them where the data allows. Explain what each one means for the business. Then produce risk indicators and escalation advice. Finish with the top three moves to lift phishing handling time.
Replace “reported suspicious message metadata/content” with your real data.
Optimise prompt
Optimise prompt
Improve an existing version for better business results
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Improve my existing phishing report triage work. I will give you reported suspicious message metadata/content plus the current version and its results. Find the weak points. Cut wasted effort. Sharpen clarity and accuracy. Return an improved risk indicators and escalation advice. Show each fix as: current issue, recommended change, expected effect on phishing handling time.
Replace “reported suspicious message metadata/content” with your real data.
Automate prompt
Automate prompt
Turn the task into a repeatable AI-assisted workflow
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Turn phishing report triage into an automated workflow. It starts when reported suspicious message metadata/content arrives. It must end with risk indicators and escalation advice. Available systems: Help desk, device management, knowledge base, ticketing. Map out: trigger, fields to capture, AI step, decision rules, where a human approves, what happens on failure, data to store. Also phishing handling time tracking. Keep the whole thing maintainable by a small team.
Replace “reported suspicious message metadata/content” and the listed systems with what you actually run.
New here? How the four prompts work together
They are one sequence, not four options. Run them in order on the same piece of work, feeding each answer into the next.
Create
Paste your real data. You get a first draft. Most people never need to go further than this.
Analyse
Paste that draft back in. It tells you what is weak, missing or wrong before a customer sees it.
Optimise
Paste the draft again with what Analyse found. You get a stronger version.
Automate
Only once the output has been good five times running. This is the one people reach for too early.
Nothing forces you through all four. A good Create draft that you edit yourself is a finished job. The longer version.
Specification
- You give it
- Reported suspicious message metadata/content
- You get back
- Risk indicators and escalation advice
- Moves
- Phishing handling time
- Run it
- Daily/Monthly
- Priority
- P4
- Works with
- Help desk, device management, knowledge base, ticketing
Is this for you?
- Pick it for
- SMEs without a large internal IT team. No setup needed. If you can copy and paste, you can run it.
- What you get
- Drafted in minutes, not built from scratch. It aims at cost control. Watch one number: phishing handling time.
- Reach for it when
- Most SMEs run it daily, reviewed monthly. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: reported suspicious message metadata/content.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “reported suspicious message metadata/content” in the prompt with your real data, then run it.
- 04Review the output and get a human sign-off — this one touches money, staff or compliance.
- 05Track phishing handling time. Only wire up the Automate prompt after five useful runs in a row.
The tools you will need
The prompts run in any chat assistant — ChatGPT, Claude or Gemini. These are what you need around them to get the input in and the output somewhere useful.
- device management
- Any tool you already use is fine.
- knowledge base
- ticketing
- Any tool you already use is fine.
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- NACSA
- Incident handling and reporting expectations are set nationally, not by your IT vendor. Worth knowing who you would have to tell, and how quickly, before the day you need to.
- CyberSecurity Malaysia
- This is where a Malaysian business actually reports an incident and gets help. If customer data is involved, JPDP matters too, and the two are separate reports.
- JPDP
- Pasting customer or staff records into an AI tool is a transfer of personal data. Consent, notice, retention and cross-border rules still apply when the tool is not yours.
Links go to each authority’s own site. See all Malaysian authorities.
Data & privacy
If you paste customer or staff details into an AI tool, your business stays responsible for them under the PDPA. Replace names and numbers with initials or references first.
Using customer data with AI tools in Malaysia covers what to check with any provider before you paste.
For this website, it works differently.
Nothing you type here is sent to us or to an AI model. The prompts are static content, and the copy button works directly inside your browser.
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Maintained by Naven Pillai