Specialized agents for every inbox.
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 reached.
See every verdict, start to finish
What does AegisAI check that a filter does not?
Signature and reputation checks miss AI-written lures from authenticated or compromised accounts. AegisAI reads what each message asks the reader to do, and whether that fits the sender.
Read mail through the API
Connect Microsoft 365 or Google Workspace in five minutes. No MX change, no gateway.
Four agents per message
Reputation, intent, policy and headers are checked in parallel. Links and attachments are opened in a sandbox.
One verdict, with reasons
Every verdict comes with a confidence score and plain-language evidence. Median time: 1.9 seconds.
Remove it everywhere
Convicted mail is pulled from every mailbox, forwards included. Your analyst gets the summary.
Catch the email, then watch the account it targeted.
Five features cover the path from the first email to a compromised account. All five act on the same verdict.
Judges each message by what it asks for, not by whether it matches a known attack.
How inbound email security worksFlags the invoice reply that changes bank details inside a real vendor thread.
How BEC attack prevention worksOpens every link, attachment and QR code in a sandbox and reads the page at the end.
How phishing prevention worksWatches sign-ins and mailbox rules after MFA has already passed.
How account takeover protection worksMoves newsletters and bulk mail out of the inbox. There is no quarantine queue to review.
How graymail and spam control worksUse the same connection for outbound mail, new apps and training.
The API connection that reads inbound mail also sees outbound mail, sign-up emails and clicks. Four more features run on it, with no second install.
Flags payroll files, API keys and customer data sent to personal or unknown addresses.
How outbound email DLP worksFinds the AI and SaaS apps staff sign up for, from the welcome emails those apps send.
How shadow IT and AI discovery worksBuilds simulations from lures AegisAI caught in your own mail.
How simulation and training worksWrites spear phishing aimed at your staff and sends it only after your team approves the run.
How AI red teaming worksRun it beside your current stack for five days before you change anything.
Connect a tenant in monitoring mode and compare what AegisAI finds with what your current tools caught. Nothing is removed until you grant write access.
Starts read-only in monitoring mode. Removal needs write access that admins can grant or revoke.
Mail keeps flowing. Detection pauses until the service returns.
Runs beside an existing gateway or Defender, or on its own.
Account takeover. Reads sign-ins and mailbox activity.
Outbound DLP. Audit mode tests a policy on live mail.
Shadow IT. Checks apps against identity records.
Simulation. Set per campaign after a click.
Red team. Nothing runs until your team approves it.
Account takeover protection needs audit-log access, and Entra ID P1 for sign-in reports on Microsoft 365.
How does one finding change the next verdict?
Every feature reads the same mail and identity data. A finding in one becomes evidence for the others. Three cases show the chain.
Illustrative scenarios. Names and details are fictional.
A phishing lure becomes training
A new AI tool spreads
What customers measured on their own mail.
Read the Mesh story
Read the LangChain story Run AegisAI on your own mail.
Connect a tenant in monitoring mode. In five days you see what your current stack let through.
Book a demo