New Update Google rolls out fake call detection to protect against AI deepfake impersonation scams

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Google announced on Tuesday that Android is launching fake call detection to protect against AI deepfake impersonation scams. The feature is rolling out globally in Phone by Google to Android 12+ devices this month, starting with Pixel devices.

As people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority figures, family members, or employers.

For example, a person may receive a phone call showing the caller ID “Mom,” and the voice may sound exactly like her, but the caller is actually a scammer using AI tools to impersonate her and request money for a fake emergency.

The new feature is on by default and works automatically behind the scenes.

Read the full Story:

Google rolls out fake call detection to protect against AI deepfake impersonation scams | TechCrunch

As people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority figures, family members, or employers.

techcrunch.com

 

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Read the full Story:

Google rolls out fake call detection to protect against AI deepfake impersonation scams | TechCrunch

As people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority figures, family members, or employers.

techcrunch.com

That is a useful addition, but it is important to keep expectations realistic.

What this means in practice

• It appears Google is adding an on-device feature in Phone by Google to help detect likely scam or impersonation patterns during calls.
• If it works as described, it could be especially helpful against “urgent emergency” scams that rely on panic and voice impersonation.
• The biggest advantage is that it may warn users in real time, which is when many people are most vulnerable to social engineering.

Important limitations

No call detection system will be perfect.

• A warning does not prove a call is malicious.
• No warning does not prove a call is safe.
• Caller ID spoofing is still a major problem, so seeing a trusted name or number should never be treated as proof of identity.
• AI voice cloning can be convincing, but many scams still succeed mainly because of pressure tactics, not just the voice itself.

Best defense against these scams

Even with this feature enabled, the safest habit is to verify through a second channel.

• Hang up if the caller asks for money, gift cards, crypto, or urgent account action.
• Call the person or organization back using a number you already know is legitimate.
• Use a family safe word or verification phrase for emergency requests.
• Do not share one-time codes, banking details, or account recovery information during unexpected calls.

Bottom line

This is a welcome security feature, especially for less technical users, but it should be treated as an extra layer of protection rather than a solution on its own. Verification habits still matter more than caller ID or voice familiarity.

 

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Google explains that the new feature works kind of like a “digital handshake between devices.” When a contact calls you, and you’re both using Phone by Google, their phone sends a silent confirmation signal to your device to verify the call is legitimate and actually coming from their phone.

“If a scammer tries to impersonate your trusted contact, that initial confirmation signal will be missing,” Google explained in a blog post. “Your device will instantly notice this and ping your contact’s actual device to double-check. If their real device says, ‘I’m not making a call right now,’ you’ll get a warning on your screen advising you to hang up immediately.”

The tech giant notes that it built this feature on top of Rich Communication Services (RCS), making it possible for other apps and companies to adopt the technology.