Google to Use RCS to Fight AI Voice Scams on Android
Voice cloning tools have become more accessible in recent years, allowing scammers to generate convincing audio that can sound remarkably similar to a real person. Combined with caller ID spoofing, these tools can create highly believable scams.
Google's new fake call detection feature uses encrypted RCS signals to verify whether a call is genuinely coming from a trusted contact, addressing a growing threat from AI-powered impersonation scams.
Artificial intelligence is making many digital experiences more powerful, but it is also creating new challenges.
The company is rolling out a new fake call detection feature through the Phone by Google app.
Highlights
Google's new fake call detection feature uses encrypted RCS signals to verify whether a call is genuinely coming from a trusted contact, addressing a growing threat from AI-powered impersonation scams.
Artificial intelligence is making many digital experiences more powerful, but it is also creating new challenges.
The company is rolling out a new fake call detection feature through the Phone by Google app.
Google’s new fake call detection feature uses encrypted RCS signals to verify whether a call is genuinely coming from a trusted contact, addressing a growing threat from AI-powered impersonation scams.
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Key Highlights
Google is rolling out a fake call detection feature to combat AI-powered impersonation scams.
The system uses encrypted RCS signals to verify whether a call is genuinely coming from a trusted contact's device.
The feature is designed to protect users from voice cloning and caller ID spoofing attacks.
Verification happens before or during a call, helping users identify suspicious calls more quickly.
The feature currently requires Android devices using Phone by Google, Google Messages, and Google Contacts.
Artificial intelligence is making many digital experiences more powerful, but it is also creating new challenges. One of the fastest-growing concerns is the rise of AI-generated voice scams, where fraudsters use voice cloning technology to impersonate family members, friends, colleagues, or authority figures in an attempt to trick victims into sending money or sharing sensitive information. Google believes it may have found a way to tackle this growing problem on Android.
The company is rolling out a new fake call detection feature through the Phone by Google app that aims to identify impersonation scams by verifying whether a call is actually coming from a trusted contact’s device. The approach is notable because it relies on Rich Communication Services (RCS), a technology that has traditionally been associated with messaging rather than voice security.
AI Voice Scams Are Becoming More Sophisticated
Voice cloning tools have become more accessible in recent years, allowing scammers to generate convincing audio that can sound remarkably similar to a real person. Combined with caller ID spoofing, these tools can create highly believable scams.
A user might receive a call that appears to come from a family member or friend. The voice may sound authentic, and the caller may claim to be in an emergency situation requiring immediate financial assistance. In many cases, victims have little reason to suspect that the call is fraudulent.
As AI models continue to improve, distinguishing between genuine and fake voices is becoming increasingly difficult for consumers.
How Google’s System Works
Rather than attempting to analyse whether a voice sounds real, Google’s approach focuses on verifying the source of the call. The feature requires both parties to be using Android devices along with the Phone by Google app, Google Messages, and Google Contacts. When a trusted contact places a call, their device sends a silent verification signal that confirms the call is genuinely originating from that device.
This verification process uses end-to-end encrypted RCS technology. If the signal is present, the call can be verified as legitimate. If it is missing, the receiving device performs additional checks and can warn the user that the caller may not be who they claim to be.
In situations where a scammer is spoofing a known contact, the system can alert the recipient before the conversation progresses further.
Why RCS Matters
The announcement highlights an interesting evolution for RCS. For years, RCS has been positioned as the successor to traditional SMS, offering features such as rich media sharing, typing indicators, group chats, and read receipts.
Google’s latest implementation suggests RCS could play a broader role in digital identity verification and fraud prevention. Instead of being used solely for messaging, RCS is being leveraged as a trusted communication layer capable of helping devices verify the authenticity of interactions.
A New Front in the Fight Against Fraud
The rise of AI-powered scams is forcing technology companies to rethink how trust is established in digital communications. Simply recognising a familiar phone number or voice may no longer be enough.
Google’s fake call detection feature represents an early attempt to address that challenge by combining software intelligence with communication infrastructure. While the feature currently targets Android users, it points toward a future where identity verification could become a standard part of digital communication.
As AI-generated fraud becomes more sophisticated, technologies such as RCS may find themselves playing a much larger role than originally envisioned.
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FAQs
What is Google's fake call detection feature?
It is a security feature that helps verify whether a call claiming to be from a trusted contact is actually coming from that person's device.
How does the feature work?
The caller's device sends a silent encrypted RCS verification signal. If the signal is verified, the call is considered legitimate.
What problem is Google trying to solve?
The feature is aimed at reducing AI-powered voice cloning scams and caller ID spoofing attacks.
Why is RCS important here?
RCS acts as a secure communication layer that helps confirm the authenticity of the caller's device, beyond just the phone number.
What devices are required for the feature to work?
Both parties need Android devices with Phone by Google, Google Messages, and Google Contacts installed and configured.