An AI detection tool will now check incoming emails for text that appears to have been generated by a machine, extending its scanning beyond the documents and content it has previously covered.
AI detection · Email screening
An AI-text detector now checks incoming email
The tool will estimate whether the wording of arriving messages was produced by a machine rather than a person, extending its scanning beyond the content it covered before. Key details about how it works, and how accurate it is, have not yet been published.
How the screening works, as described
A simplified flow based on the announced function. Steps marked unknown are not yet specified.
Step 1
Message arrives
An email lands in the inbox.
→
Step 2
Wording analyzed
The text is assessed for machine-generated patterns.
→
Step 3
Probability estimate
A likelihood, not a certainty.
→
Step 4
User-facing result
Unknown: how flags appear and what users see.
Why it may matter
Email is a common channel for fraud, phishing and mass-produced messages.
Security and spam-filtering teams may find machine-text signals useful.
Extends AI-text detection into everyday communication.
Points of caution
Detectors give probabilistic estimates that can be wrong.
Writers who use AI for grammar or drafting may be flagged.
Reliability of such systems remains debated across the industry.
Still unresolved
The practical impact is uncertain until the details are published.
Supported email platforms
How scanning is triggered
What users see when a message is flagged
Which plans include the feature
Independent accuracy and false-positive rates
Privacy handling of email content
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