The fake invoice. The stolen account. The booby-trapped device. Our AI handles it.

An “executive” demands an urgent, confidential transfer. Our AI sees the first payment instruction, the unproven origin, the manufactured urgency.

A real invoice, a “new account”. It remembers your suppliers’ accounts and spots the IBAN it has never seen.

The same invoice, one letter off. It measures the gap with your real contact.

The bank details are changed on an image. It reads the scan and checks the IBAN against the supplier.

A button to click, a flawless Microsoft notice. It reads what the recipient sees and follows where the link goes.

“Scan to sign in”, even inside an image PDF. It decodes it and judges where it leads.

No password involved, a valid user. New device, new network: it flags it. You cut off access in one click.

Hundreds of attempts, then a successful sign-in. It links the two. The sign-in is what counts, not the noise.

A real colleague, in a real thread, asks for a payment. It links the abnormal sign-in and the email: same account, same hour.

An account gets privileges on a Sunday. It tells you who did it, and from where.

Defender flags it on a device in accounting. It links it to the device and its user, isolates the device, and explains it to you in one sentence.

Same device, different times. It turns them into one story, with its real severity. One decision to make.

“invoice.pdf” is a program. It detects the real file type, not the name.