AegisAI Perspectives · 132

How does a software startup on Google Workspace stop AI-written phishing that Gmail misses?

A software startup on Google Workspace turns on Gmail's spoofing and link settings first, then adds an API layer that reads intent in AI-written phishing.

TL;DR
Answer
Turn on Gmail's employee name spoofing, link, sandbox and pre-delivery settings first, then add a second layer by API that reads what each message asks for.
Who it's for
If you run IT for a software startup of 20 to 500 people on Google Workspace, with a lean IT or security team and no SOC.
Watch out for
AI-written phishing often carries no link and no file, so link checks and the sandbox have nothing to scan, and a fake recruiter's name is not in your directory.
What AegisAI does
Catches fake executives, vendors and payment requests, even with no link or file to scan. It reads mail through the Microsoft 365 or Google Workspace API after delivery.
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See it on your own Google Workspace or Microsoft 365 tenant. No MX change.

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How does a software startup on Google Workspace stop AI-written phishing that Gmail misses?

A software startup on Google Workspace stops AI-written phishing in two moves: turn on Gmail's spoofing protection first, then add a second layer that reads what each message asks for1. AegisAI research found AI-generated phishing got past Gmail and Microsoft tier-1 filters 50.3 percent of the time, against 28.5 percent for human-written phishing23.

AegisAI connects to Microsoft 365 or Google Workspace through the API, judges every message by its intent, and removes what fails from every mailbox it reached17. If you run IT for a software startup of 20 to 500 people on Google Workspace, with a lean IT or security team and no SOC, this is the order of work for you. The product side is on the inbound email security page. How to connect a second layer is in how to add a third-party email security layer to Google Workspace. What changes inside the message is in how AI-generated phishing differs from traditional phishing.

What you can do by the end

  • Turn on six Google Workspace protections in order, with a stricter action than the default warning.
  • Name the AI-written messages those settings cannot score: no link, no file, passing authentication.
  • Decide when a second layer by API is worth a read-only trial at your startup.

Why do attackers aim at engineers and founders at a software startup?

Their names and code are public, and AI makes a message written for one person cheap. The FBI says criminals use AI-generated text to appear believable to a reader11. They also create messages faster, to reach a wider audience with believable content12.

In a September 2024 warning about North Korean actors targeting the cryptocurrency sector, the FBI said the actors may impersonate recruiting firms or technology companies13. It lists a request to complete a pre-employment test or debugging exercise that involves running unfamiliar code or packages as a potential indicator14.

Founders get fake requests under their own names, because a name on the website is all a sender needs to borrow it. Step 2 below is the Gmail setting for that case. Tell every engineer in writing that a coding test from a stranger never runs on a work laptop.

Short on time? Watch the explainer, or book a demo.

Turn on these Google Workspace settings first

Steps 2 to 6 sit in the Google Admin console. Step 6, enhanced pre-delivery message scanning, needs the Gmail Settings administrator privilege4.

  1. Publish SPF and DKIM, then DMARC. Google recommends you set up SPF, DKIM, and DMARC for your organization10. Allow 48 hours after SPF or DKIM before you set up DMARC7, and start the policy at p=none8.

  2. Turn on protection against spoofing of employee names. It acts on messages where the sender's name is a name in your Google Workspace directory, but the email isn't from your company domain. At a startup, that covers every founder whose name is on the website.

  3. Set a stricter action on each spoofing setting. Gmail's default is to display warnings and move untrustworthy emails to the spam folder2. Choose Quarantine for employee name spoofing, so an admin sees each fake founder email first.

  4. Turn on the links and external images settings. Gmail can identify links behind short URLs and scan linked images. It can also warn on clicks to untrusted domains3.

  5. Turn on Security Sandbox for attachments. The setting is off by default6, so a new tenant does not run it until an admin does.

  6. Turn on enhanced pre-delivery message scanning. When Gmail detects suspicious content, delivery is slightly delayed so Gmail can do additional security checks5.

Turn on all six in one sitting, then send a test message from a personal address under a founder's name to confirm step 2 fires.

What do these settings miss in an AI-written message?

They miss the message that carries nothing to scan. Link checks need a link, and the sandbox needs an attachment. A fluent note that asks an engineer to reply, or a founder to approve a change, has neither.

A pass on domain authentication shows which domain sent a message, not whether the request inside it is honest. A recruiting domain registered last week can pass every check.

Employee name spoofing has a limit too. It matches names in your own directory, so a fake recruiter or a fake investor, whose name is not in your directory, never trips it.

Google says it plainly: sometimes spam messages are sent to your inbox, instead of to the Spam label9. Pull the last 10 phishing reports from your team and mark which ones had no link and no attachment.

When should a startup add a second layer by API?

Add it when the six settings are on and the messages that still arrive carry no link or file. Any one of these signs is enough:

  • Fake recruiter or investor messages still reach engineers and founders after step 3.
  • Nobody has time to read every user report, because there is no SOC.
  • One reply could move money, grant code access or hand over credentials.

A layer that connects by API changes no mail routing. The inbound email security layer, for example, reads mail through the Microsoft 365 or Google Workspace API after delivery, with no MX change and no gateway18. Why no MX change is needed is in Google Workspace email security without MX changes.

Run any second layer read-only through the whole trial before you grant it permission to remove mail.

Compare what Gmail settings and a second layer check

MessageGmail settings aboveWhat to ask of a second layerInbound email security
Link to a fake login pageLinks behind short URLs and untrusted domainsDoes it read the request around the link?Judges every message by its intent
Founder name from an outside addressEmployee name spoofingDoes it check who normally writes to whom?Catches fake executives, vendors and payment requests21
Fluent text, no link, no fileNothing to scan; some spam reaches the inboxDoes it judge the message with nothing to scan?Even with no link or file to scan
Reason a person can readA warning banner on the messageDoes each verdict come with a reason?Its reason in plain language20
Holds mail before deliveryYes, pre-delivery scanning delays suspicious mailWhere does it sit in mail flow?No edge. It reads mail through the API after delivery

The last row is the honest one: Gmail can hold suspicious mail before delivery, and the inbound email security layer reads mail after delivery. Fill one copy of this table for each second layer you test.

How AegisAI handles this

Catches fake executives, vendors and payment requests, even with no link or file to scan. It reads mail through the Microsoft 365 or Google Workspace API after delivery. Runs in monitoring mode first19. Every verdict comes with its reason in plain language, so your team can check it and share it.

Book a demoSee inbound email security

See your own records: Check your domain.

What does one AI-written lure look like at a startup?

Illustrative example, figures are fictional: Northloop Labs (fictional) is a 60-person software startup on Google Workspace with one part-time IT admin. A staff engineer gets a warm, well-written note from a talent partner at a recruiting domain registered nine days earlier. It names his open-source parser project and his last two conference talks, and asks only for a time to talk. Every sender check passes. There is no link and no attachment, so the link checks and the sandbox have nothing to scan, and the sender's name is not in the directory. The message lands in the inbox. Two days later, a second email sends a debugging exercise repository. The admin, running a second layer read-only, sees the first message flagged as a recruiter lure aimed at an engineer with production access, with a three-line reason. She warns the engineer before he clones the repository.

Walk one real reported message from your own tenant through this example before you pick a layer.

How to measure it in 30 days

Track three numbers, each from a log you already have or a trial log.

  • Messages caught by employee name spoofing each week, from email log search in the Admin console.
  • Phishing reports from your team that carried no link and no attachment, from your user reports.
  • Messages a second layer flagged that Gmail delivered, from that layer's verdict log during a read-only trial.

To get the third number on your own tenant, book a read-only trial. Put the three numbers side by side on day 30 and decide on them.

Questions people ask

How does a software startup on Google Workspace stop AI-written phishing that Gmail misses?

Set up domain authentication first, and wait 48 hours after SPF or DKIM before DMARC. Then turn on the Gmail protections on this page, starting with employee name spoofing and pre-delivery scanning. Then add a layer that reads intent. AegisAI connects to Google Workspace through the API, judges every message by its intent, and removes what fails.

Is Gmail's built-in protection enough for a small software company?

It checks links and attachments once you turn the settings on, and flags directory names used from outside addresses. Google notes that some spam still reaches the inbox. The gap is fluent text with no link or file, which those settings have nothing to scan in.

Which Gmail setting stops fake founder emails?

Protection against spoofing of employee names. It acts on mail where the sender's name is in your directory but the email is not from your company domain. Set its action to Quarantine. It does not catch a fake recruiter, whose name is not in your directory.

Do I need to change MX records to add a second layer?

Not for a layer that connects by API. The inbound email security layer, for example, reads mail through the Microsoft 365 or Google Workspace API after delivery, with no MX change and no gateway.

How long should I wait before turning on DMARC?

Allow 48 hours after setting up SPF or DKIM, then start DMARC with the policy at p=none. Move to a stricter policy once the reports show your own senders pass.

What did the FBI warn about fake job offers?

In a September 2024 warning about North Korean actors targeting the cryptocurrency sector, the FBI said they may impersonate recruiting firms or technology companies. It lists a request to run unfamiliar code or packages as a pre-employment test as a potential indicator. Run any take-home test from a stranger outside work machines.

Sources

  1. (Google Workspace Admin Help: Advanced phishing and malware protection, updated 26 October 2026)
  2. (Google Workspace Admin Help: Help prevent phishing with pre-delivery message scanning, updated 26 October 2026)
  3. (Google Workspace Admin Help: Gmail Security Sandbox overview, updated 26 October 2026)
  4. (Google Workspace Admin Help: Set up DMARC, updated 26 October 2026)
  5. (Google Workspace Admin Help: Gmail spam and authentication, updated 26 October 2026)
  6. (FBI IC3, Criminals use generative artificial intelligence to facilitate financial fraud, 3 December 2024)
  7. (FBI IC3, North Korea Aggressively Targeting Crypto Industry with Well-Disguised Social Engineering Attacks, 3 September 2024)
  8. (AegisAI, Platform overview)
  9. (AegisAI, Inbound email security)
  10. (AegisAI, Half of AI phishing reaches the inbox)
  11. (AegisAI, How to add a third-party email security layer to Google Workspace)
  12. (AegisAI, How AI-generated phishing differs from traditional phishing)
  13. (AegisAI, Google Workspace email security without MX changes)

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