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Cyber Unboxed
AI for Security Analysts

Phishing + AI: Can an Assistant Spot a Fake Email?

AI can read a suspicious email quickly and point out the red flags. It can also be fooled, so treat it as a second opinion, not a verdict.

2 min readBeginner Aug 13, 2026

Explain Like I'm Not a Hacker

It is a friend who reads your suspicious email and says 'that looks fishy, here is why', but you still check the facts.

The 30-second explanation

Paste in a suspicious email and an assistant can tell you what looks off: the urgency, the mismatched link, the odd sender. It is a helpful second pair of eyes, not a final answer.

How it works

  1. 1

    1. Collect

    Get the message and headers, with private data removed.

  2. 2

    2. Ask

    Request red flags and a structured summary.

  3. 3

    3. Verify

    Check headers, links and attachments with real tools.

  4. 4

    4. Decide

    The analyst confirms and records the outcome.

An analyst pastes the message body and relevant headers (with sensitive data removed) into an approved assistant and asks for a structured review: what is being asked, what looks suspicious, and what to check next. The assistant is good at spotting language patterns and mismatches. What it cannot do alone is prove anything: checks like SPF, DKIM and DMARC results, link reputation and attachment analysis need real tools. The best workflow uses the assistant to speed up reading and the tools to confirm.

Real-world example

An assistant notes that a message claims to be from a payments team, uses urgent language, and links to a domain that does not match the company name. The analyst then checks the domain's registration date and the email authentication results before blocking the sender.

How to spot it

  • Confident but unsourced claims

    The assistant states something without pointing to evidence.

  • Missed lookalikes

    Subtle character swaps in domains can slip past.

  • Attacker text aimed at the AI

    Hidden instructions inside the email itself.

  • Real data pasted into unapproved tools

    Sensitive content leaving the approved environment.

What to do

  1. 1Use it to speed up reading, then verify every claim with headers and reputation tools.
  2. 2Redact personal and sensitive data, and use only approved tools.
  3. 3Treat any instruction inside the email as data, not as a command to the assistant.

Stay curious. Stay safer.

This is one piece of a bigger picture. Explore more real-world examples, concepts and tips to build your cybersecurity awareness.

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