A few days ago, while researching how devices collect audio data, I stumbled across something that immediately caught my attention.
A startup called Deveillance had announced a product named Spectre I, and the claim sounded almost like science fiction.

According to the company, this small device can prevent nearby smartphones, laptops, and smart devices from recording conversations within a two-meter radius.
In simple terms, it promises to create a small privacy bubble around you where microphones can’t capture clear audio.
If that claim is true, it could change how people protect sensitive conversations in places like meetings, offices, or public spaces.
But when I first read about it, I had two immediate questions.
First, is this technology actually possible?
And second, do people really need a device like this to protect their privacy?
So I decided to dig deeper into the technology behind Spectre I, the problem it claims to solve, and what experts are saying about it.
What I found was far more interesting—and complicated—than the marketing claims suggest, report by wired.
Table of Contents
Why People Think Their Phones Are Always Listening
While researching Spectre I, I kept thinking about a question I’ve seen people ask for years:
“Is my phone secretly listening to me?”
Many people have experienced something strange. They talk about a product, a place, or a topic in a conversation, and soon after they start seeing ads related to it.
When that happens, the most obvious explanation feels like this:
the phone must have heard the conversation.
But when I looked into the research and investigations around this issue, the reality turned out to be more complicated.
Technology companies like Google, Apple, and Amazon maintain that their devices do not continuously record conversations for advertising purposes. Voice assistants such as Google Assistant, Siri, and Amazon Alexa typically listen only for a wake word before starting a recording.
However, that doesn’t mean microphone-related privacy concerns are completely imaginary.
Over the years, there have been documented situations where:
- voice assistants activated accidentally and recorded short conversations
- contractors reviewed voice assistant recordings for quality control
- apps requested microphone access that didn’t seem necessary for their function
When I started digging into how microphones and app permissions actually work, I realized something important.
Even if companies are not secretly recording everything people say, modern devices still contain multiple microphones and software systems capable of capturing audio.
And that alone is enough to make many people uncomfortable.
That discomfort is exactly the kind of concern products like Spectre I are trying to address.
How Ultrasonic Microphone Jamming Works
After reading about Spectre I, the first thing I wanted to understand was how it supposedly blocks microphones.
The company says the device uses ultrasonic interference to disrupt recordings. At first, that sounded like marketing language, but when I started researching it, I discovered the concept is actually based on real acoustic principles.
Ultrasonic sound refers to frequencies above the range of human hearing, typically above 20 kHz. Humans cannot hear these frequencies, but many microphones can still detect them.

The idea behind ultrasonic jamming works roughly like this:
- A device emits high-frequency ultrasonic signals.
- Nearby microphones pick up those signals along with normal speech.
- The ultrasonic noise interferes with the microphone’s recording process.
- The resulting audio becomes distorted or difficult to understand.
In theory, this means someone trying to record a conversation nearby might end up with audio that sounds garbled or heavily distorted.
While researching this, I learned that similar techniques have already been explored in academic research and security experiments. In controlled environments, ultrasonic signals have been shown to confuse microphones or degrade recorded speech quality.
However, the effectiveness of this method depends on several factors, including:
- how powerful the ultrasonic signal is
- the distance between the jammer and the microphone
- the type and quality of the microphone
- the surrounding acoustic environment
In other words, ultrasonic interference can work, but it isn’t guaranteed to block every recording perfectly.
This is where the claims around Spectre I become more interesting—and a bit more questionable.
Because the company doesn’t just say the device emits ultrasonic noise.
They also claim it can detect microphones nearby using AI, which raises an entirely different set of technical questions.
What Spectre I Claims to Do
Once I understood the basic idea behind ultrasonic interference, I started looking more closely at the device itself.
The product is called Spectre I, created by a startup named Deveillance. According to the company, the device is designed to protect conversations from being recorded by nearby electronics.
From what I found, the device is built as a small orb-shaped gadget that can sit on a table during meetings or be carried in a pocket. The design suggests it’s meant to be used in places like:
- business meetings
- confidential discussions
- public workspaces
- interviews or private conversations
The company claims the device creates a 2-meter protection radius around it. Inside that radius, ultrasonic signals interfere with microphones so that any attempted recording becomes distorted.
In simple terms, the goal is to make microphones hear noise instead of clear speech.
But the most ambitious claim attached to Spectre I is its AI-based microphone detection system.
According to the product description, the device can supposedly identify nearby devices that contain microphones—such as smartphones, laptops, or wireless earbuds—and then activate stronger ultrasonic interference when they are detected.
Another detail that stood out to me is that the device is designed to operate entirely offline. The company says microphone detection logs stay stored locally on the device, which means it doesn’t send data to cloud servers.
That design choice clearly targets people who are already concerned about privacy.
However, while reading through these claims, one part made me pause.
Detecting microphones in nearby devices is not as straightforward as it sounds, and several experts have already questioned whether this feature works the way the company describes.
That skepticism led me to the next part of my research.
Why Experts Are Skeptical
While researching Spectre I, one feature kept standing out to me: the claim that the device can detect microphones nearby using AI.
At first glance, that sounds impressive. But the more I looked into how microphones actually work, the more complicated that claim became.
Unlike Wi-Fi or Bluetooth radios, microphones are passive components. They simply capture sound and convert it into electrical signals inside the device.
They don’t broadcast any signals that would reveal their presence.
Because of that, detecting microphones externally is not straightforward. If a phone is sitting on a table in airplane mode, for example, its microphone isn’t transmitting anything that another device could easily detect.
That doesn’t mean detection is completely impossible. Some experimental systems attempt to infer microphones indirectly by analyzing:
- electromagnetic emissions from nearby electronics
- reflections of ultrasonic signals
- patterns of device activity
But these methods tend to be complex and inconsistent, especially outside controlled environments.
That’s why some security researchers have expressed skepticism about how reliable the detection feature might be in real-world situations.
At the moment, I haven’t found independent technical testing confirming that Spectre I can accurately detect nearby microphones the way its marketing suggests.
To be clear, this doesn’t automatically mean the device doesn’t work.
The ultrasonic interference part is based on real acoustic principles, and similar techniques have been explored before. The uncertainty mainly surrounds the AI detection claims and how consistently the device performs in different environments.
Until independent researchers test it thoroughly, those claims should probably be viewed with cautious curiosity rather than certainty.
That naturally led me to the next question I wanted to answer while researching this device:
Even if the technology works, who would actually need something like this?
Limitations of Microphone Jamming Devices
While looking deeper into Spectre I, I tried to step back from the marketing claims and think about how the device might perform in real-world situations.
Even if ultrasonic interference works, several practical limitations immediately stood out to me.
The Protection Range Is Small
The company states that the device protects an area within a two-meter radius.
That might be enough for a small meeting table, but in larger rooms the limitation becomes obvious. A microphone placed just outside that range could still capture audio without interference.
In other words, the device doesn’t create a room-wide privacy shield — it creates a very small bubble of protection.
Microphone Hardware Varies
Another thing I noticed during my research is that microphones are not all the same.
Different devices use different microphone technologies and signal processing systems. Some microphones are designed to filter noise, isolate speech, or focus on specific directions.
Because of that, the effectiveness of ultrasonic interference could vary depending on:
- microphone sensitivity
- built-in noise filtering
- recording hardware
- distance from the device
A cheap phone microphone might be affected differently than a high-quality directional microphone used in professional recording equipment.
No Independent Testing Yet
Perhaps the biggest limitation right now is the lack of independent verification.
As far as I could determine, the claims surrounding Spectre I have mostly come from the company itself and early product announcements.
I have not found widely published independent lab tests confirming how reliably the device performs across different devices and environments.
That doesn’t mean the technology is impossible — but it does mean the real-world effectiveness remains largely unproven for now.
It Only Protects Against One Type of Surveillance
Another thing I kept reminding myself while researching this device is that it only addresses audio recording.
Even if the device works exactly as advertised, it would not prevent other forms of surveillance, such as:
- cameras recording video
- spyware installed on devices
- network monitoring or data interception
- metadata collection by apps or services
In other words, it solves a very specific privacy problem, not the broader issue of digital surveillance. some experts question whether ultrasonic jammers work reliably.
While thinking through these limitations, I started asking a bigger question.
Even if a device like this works, how often do people actually need protection from nearby microphones?
Do People Actually Need a Device That Blocks Microphones?
While researching Spectre I, I kept asking myself a simple question:
Is the problem it claims to solve something most people actually face?
The idea of devices secretly listening to conversations has become a common fear. Many people believe their phones are constantly recording them because they later see ads related to conversations they recently had.
But when I looked into how advertising systems actually work, the explanation is usually less dramatic.
Modern ad platforms from companies like Google and Meta rely heavily on data such as:
- browsing history
- search activity
- location patterns
- app usage behavior
- demographic profiling
These signals are often enough to predict interests surprisingly well. As a result, ads can feel uncannily accurate even without microphones being used for advertising.
That said, microphone-related privacy concerns are not completely imaginary.
There have been documented cases where voice assistants recorded conversations unintentionally. Systems like Amazon Alexa, Siri, and Google Assistant sometimes activate accidentally when they misinterpret sounds as wake words.
In most cases these recordings are short and handled automatically, but incidents like these have made people more cautious about devices with microphones nearby.
For everyday situations, however, the larger privacy risks I keep encountering during my research usually involve things like:
- apps collecting excessive data
- tracking through advertising networks
- spyware or malicious software
- data leaks from online services
Those threats typically originate inside your own device, not from someone else’s phone sitting across the table.
However, there are environments where audio privacy is genuinely critical.
For example:
- confidential business negotiations
- legal discussions between attorneys and clients
- journalism involving sensitive sources
- corporate research and intellectual property meetings
In situations like these, preventing unauthorized recordings could be extremely valuable.
So while most people probably won’t need a device like Spectre I in their daily lives, there are specific scenarios where technology designed to interfere with microphones might actually make sense.
That realization led me to my final conclusion after researching this device.
My Final Thoughts
After spending time researching Spectre I, I came away with mixed impressions.
On one hand, the core idea behind the device—using ultrasonic signals to interfere with microphones—is based on real acoustic principles. Similar techniques have appeared in academic research and experimental security tools before.
So the concept itself isn’t impossible.
On the other hand, some of the more ambitious claims surrounding the device still need independent verification. The feature that raised the most questions for me is the AI-based microphone detection system, which the company says can identify nearby devices containing microphones.
Because microphones are passive components that don’t broadcast signals, reliably detecting them from outside a device is technically challenging. Until independent researchers test the system, it’s difficult to know how consistently that feature works.
Another factor that stood out to me is the device’s limited protection radius of about two meters. In small meeting environments that might be sufficient, but in larger rooms it would only protect a relatively small area.
In other words, even if the device performs as advertised, it should probably be seen as a specialized privacy tool rather than a universal solution to surveillance.
For most people, improving privacy will still involve more practical steps, such as:
- reviewing app permissions
- limiting microphone access for unnecessary apps
- keeping devices updated
- being cautious about unknown software
Devices like Spectre I represent an interesting new direction in privacy technology, but at the moment they sit somewhere between promising innovation and unproven concept.
If independent testing confirms the company’s claims, tools like this could eventually become part of the broader ecosystem of technologies designed to protect conversations in sensitive environments.
Until then, I think it’s worth watching developments around devices like Spectre I with curiosity—but also a healthy amount of skepticism.