How Behavioral Signals Catches Tricky Fakes Others Might Miss

Key Points:

• Why sophisticated voice deepfakes are a growing threat and how they are used in modern fraud.
• How a new approach that adds a human layer is more effective than just finding technical glitches.
• A look inside Behavioral Mapping, the technology that analyzes if a voice truly feels human.
• How flexible protection can guard both high-profile individuals and defend against unknown callers.
• What makes this technology real-world ready, from its real-time speed to its use in high-security settings.
• The core mission behind the tech: to defend trust in our most human form of communication.

Have you ever gotten a strange call from a number you don’t recognize? Most of us just ignore it. But what if the call came from your boss or a family member, and their voice sounded a little off? In today’s world, that could be a voice deepfake, a fake audio clip created by AI to trick you.

These fakes are getting so good that they can fool almost anyone, leading to serious fraud and misinformation. While many companies are trying to fight this problem, one company, Behavioral Signals, is taking a completely different approach. They’ve found a way to catch the tricky fakes that other systems might not, and it’s all about listening for something uniquely human.

It’s Not Just the Sound, It’s the Feeling

Most deepfake detectors work by listening for tiny technical mistakes or glitches in the audio file. They are looking for the digital fingerprints that AI might accidentally leave behind. This is a good first step, but the technology behind these fake voices is improving so fast that many no longer have these obvious flaws.

This is where Behavioral Signals does something special. Instead of just analyzing the sound file, they add a human layer to the check. They look at the emotion and behavior behind the voice to see if it feels real. Think about it. You can often tell if a friend is happy or sad not just by their words, but by the rhythm, tone, and pitch of their voice. That’s the kind of human intuition they have built into their AI.

How They Check for ‘Behavior’

The team at Behavioral Signals uses a powerful two-part system to see if a voice is real. First, they do the traditional check for any technical errors in the sound. But then, they move on to their most important tool: Behavioral Mapping.

This is their secret sauce. Their AI has been trained to understand the natural patterns and flow of human speech. It models the speaker’s intent and interaction patterns. Does the person speaking pause naturally? Is their rhythm consistent with a real human? Or does it sound a little too perfect, a little too robotic? By mapping this behavior, they can tell if the voice feels human or if something is wrong.

Rana Gujral, the CEO of Behavioral Signals, explains their unique focus perfectly.

Deepfakes are a human challenge, not only a technical one. We evaluate the integrity of the person behind the voice, not just the waveform.

— Rana Gujral, CEO, Behavioral Signals

Protection for Everyone

One of the best parts about this technology is how flexible it is. Behavioral Signals knows that different situations need different kinds of protection.

For very important people, they offer speaker-specific training. This means they can create a custom model trained to protect a high-value voice, like that of a CEO or a political figure. It’s like a personalized security guard for their voiceprint.

But they also have a powerful speaker-agnostic mode. This works on any voice, even if the system has never heard it before. This is perfect for protecting large systems like bank call centers or media hotlines from unknown attackers. They offer both targeted protection and broad coverage, and the system even works across 11 different languages.

Built for the Real World

In the world of business and security, speed is everything. The Behavioral Signals platform works in real time, making a decision in under 300 milliseconds. That’s faster than you can blink. It can make a judgment on as little as two seconds of audio, making it perfect for live calls.

Their system is also built to work anywhere. It can be deployed in the cloud, on a company’s private servers, or even in completely disconnected, “air-gapped” environments for high-security clients like defense agencies and law enforcement. The results are also explainable, giving investigators clear reasons why a voice was flagged.

Ultimately, as our world becomes more digital, the need to protect our conversations is more important than ever. By focusing on the human element, Behavioral Signals is working to defend trust in our most basic and powerful tool of communication: our own voice.