Attack trends

AI phishing emails: what the research shows and how to train

What the FBI says about generative AI in fraud, what a 2024 human-subjects study found about AI-written spear phishing, and how SecurityRing’s AI Builder drafts simulations you still approve.

Attackers now use generative AI to write phishing that looks like ordinary email. Defenders can use the same class of tools to practise those attacks safely. This post sticks to two primary sources: an FBI public service announcement on generative AI in fraud, and a 2024 human-subjects study on AI-automated spear phishing. Then it describes how SecurityRing’s AI Builder actually works.

Key takeaway

The FBI warns that generative AI makes fraud more believable and cheaper to scale. A 2024 study found AI-written spear-phishing emails matching human experts on click-through rate. Training has to practise personalised, current lures, not last year’s template.

What the FBI has warned about

On 3 December 2024 the FBI’s Internet Crime Complaint Center issued PSA I-120324-PSA, “Criminals Use Generative Artificial Intelligence to Facilitate Financial Fraud”. Among the examples it lists for AI-generated text:

  • Messages sent faster to a wider audience with believable content.
  • Language translation that reduces the grammar and spelling mistakes that once gave foreign actors away.
  • Content for fraudulent websites and chatbots that prompt victims to click malicious links.
  • Text used in social engineering and spear phishing.

The same PSA covers AI-generated images, voice cloning and videos used to impersonate executives, law enforcement and relatives. Those modalities matter for deepfake and vishing programmes; this post stays on email text.

What one research study measured

Heiding, Lermen, Kao, Schneier and Vishwanath (arXiv:2412.00586, 30 November 2024) sent four kinds of email to 101 recruited participants:

GroupClick-through rate
Control (ordinary phishing / spam-style)12%
Human-expert spear phishing54%
Fully AI-automated spear phishing54%
AI with human-in-the-loop edits56%

The AI tool scraped public information to build a profile, then generated and sent the email. The authors report that the AI-gathered information was accurate and useful in 88% of cases. This is one study with a recruited sample; it is not an industry benchmark and not a SecurityRing statistic.

What auditors look for

If you report AI-phishing readiness to the board, cite the primary source (date, sample size, click-through definition) and separate it from your own campaign metrics. Do not present a single study as “the” click rate for AI phishing.

How SecurityRing’s AI Builder works

SecurityRing uses AI on the defender side, with a human in control:

  1. Recommendations from your industry, tools, company context and current advisories, plus anonymised patterns from other SecurityRing customers’ recent campaigns in your peer industry.
  2. AI Builder drafts the brief, email, landing page, quiz and training video from a one-line brief or from “Build this idea” on a recommendation.
  3. You approve every tab before finalise. The red flags you mark become the lesson’s teaching points.
  4. Personalisation fills each employee’s first name, manager, department and location at send time.
  5. After a click, the employee sees a short video of that exact email with its red flags highlighted, and a quiz, designed to take under two minutes.

How SecurityRing helps

See AI phishing simulation for the product page. SecurityRing does not claim that AI-written simulations reduce breaches by a percentage. Across 100+ SecurityRing campaigns that have trained 10,000+ people, more than half of the people who clicked completed the in-the-moment lesson without a reminder.

Sources

Every clause, incident and figure above comes from these official or original sources.

  1. FBI IC3Criminals Use Generative Artificial Intelligence to Facilitate Financial Fraud (I-120324-PSA)Published 3 December 2024 · Accessed 16 October 2026.
  2. arXiv (Heiding, Lermen, Kao, Schneier, Vishwanath)Evaluating Large Language Models’ Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human SubjectsPublished 30 November 2024 · Accessed 16 October 2026.

FAQ

Frequently asked questions

More questions? Ask us in a demo.

Are AI-written phishing emails more effective than human-written ones?

In a 2024 study with 101 participants (Heiding et al., arXiv:2412.00586), fully AI-automated spear-phishing emails achieved a 54% click-through rate, matching human-expert emails (54%) and far above a control group of ordinary phishing emails (12%). That is one study, not a universal benchmark.

How does SecurityRing use AI in phishing simulations?

SecurityRing recommends attacks from your industry, tools and current advisories. The AI Builder drafts the email, landing page, training video and quiz from a one-line brief or a recommendation. A person on your team reviews and approves every piece before launch. Placeholders fill each employee’s name, manager, department and location.

Does SecurityRing send AI-written emails without human review?

No. Every simulation is approved tab by tab (brief, email, landing, quiz, video) before you finalise and activate the campaign.