The phone rings, and it’s your boss. The voice is unmistakable; with the same flow and tone you’ve come to expect. They’re asking for a favor: an urgent wire transfer to lock in a new vendor contract or maybe sensitive client information that’s strictly confidential.
Everything about the call feels normal, and your trust kicks in immediately. It’s hard to say no to your boss, and so you begin to act.
What if this isn’t really your boss on the other end? What if every inflection, every word you think you recognize has been perfectly mimicked by a cybercriminal?
In seconds, a routine call could turn into a costly mistake; money gone, data compromised, and consequences that ripple far beyond the office.
What was once the stuff of science fiction is now a real threat for businesses. Cybercriminals have moved beyond poorly written phishing emails to sophisticated AI voice cloning scams, signaling a new and alarming evolution in corporate fraud.
How AI voice cloning changes the threat landscape
We have spent years learning how to spot suspicious emails by looking for misspelled domains, odd grammar, and unsolicited attachments. Yet we haven’t trained our ears to question the voices of people we know, and that’s exactly what AI voice cloning scams exploit.
Attackers only need a few seconds of audio to replicate a person’s voice, and they can easily acquire this from press releases, news interviews, presentations, and social media posts
A scammer doesn’t need to be a programming expert to impersonate your CEO. They only need a recording and a script.
Traditionally, business email compromise (BEC) involved compromising a legitimate email account through techniques like phishing and spoofing a domain to trick employees into sending money or confidential information. BEC scams relied heavily on text-based deception, which could be easily countered using email and spam filters.
While these attacks are still prevalent, they are becoming harder to pull off as email filters improve.
Voice cloning, however, lowers your guard by adding a touch of urgency and trust that emails cannot match.
“Vishing” (voice phishing) uses AI voice cloning to bypass the various technical safeguards built around email and even voice-based verification systems. Attackers target the human element directly by creating high-pressure situations where the victim feels they must act fast to save the day.
Challenges in audio deepfake detection
Few tools currently exist for real-time audio deepfake detection, and human ears are unreliable as the brain often fills in gaps to make sense of what we hear.
That said, there are some common tell-tale signs, such as the voice sounding slightly robotic or having digital artifacts when saying complex words. Other subtle signs you can listen for include unnatural breathing patterns, weird background noise, or personal cues such as how a particular person greets you.
Securing your company against synthetic threats
As AI tools become multimodal, we will likely see real-time video deepfakes joining these voice scams, and you will need to know how to prove that a recording is false to the press and public.
Waiting until an incident occurs means you will already be too late.
Does your organization have the right protocols to stop a deepfake attack? Contact us today to assess your vulnerabilities and secure your communications against the next generation of fraud.