For years, security awareness training taught people to look for poor grammar, strange greetings and generic messages. Generative AI has made those clues unreliable. Attackers can now write fluent, personalized messages in any language, and they can clone a voice from a few seconds of audio.
Attackers feed public information from company websites, social media and press releases into language models to write convincing, context-aware lures for thousands of targets at once.
Deepfake audio has been used to impersonate executives on phone calls requesting urgent payments. Real-time video impersonation in meetings is increasingly realistic.
A phishing email is followed by a text message and then a phone call, each reinforcing the others. The consistency makes the story feel legitimate.
Make it policy that any request involving money, credentials or sensitive data is verified through a separate, known-good channel, such as calling back on a number from the company directory. No exceptions for seniority or urgency.
Instead of teaching people to spot typos, teach them to recognize pressure: urgency, secrecy, authority and unusual requests. These signals remain even when the writing is perfect.
Enforce DMARC at reject, monitor for lookalike domains and flag external senders clearly. Brand protection monitoring helps you find impersonation domains before they're used.
A single report button, a fast response and a thank-you create a culture where people report quickly. Your security team can then block a campaign after the first report instead of the fiftieth click.
AI hasn't changed what attackers want. They still want credentials, payments and access. Build processes that make those requests hard to fulfil without verification, and even perfect phishing loses most of its power.