What Is Stealth Mode? MigMig's 20+ Undetectability Checks Explained

Stealth mode meaning (quick answer)

Stealth mode means an AI interview copilot can assist you during a live call without joining as a meeting bot, creating virtual audio devices, or leaving obvious overlay artifacts during screen share. In MigMig, stealth mode is a stack of 20+ undetectability checks across Zoom, Google Meet, Microsoft Teams, and Webex.

The Detection Arms Race

Video conferencing platforms are in a constant battle against unauthorized tools. As AI assistants become more sophisticated, platforms like Zoom, Google Meet, Microsoft Teams, and Webex invest heavily in detecting and blocking meeting bots, recording tools, and AI copilots.

These platforms use multiple layers of detection, each designed to catch a different type of unauthorized tool. Understanding these detection mechanisms is essential for building an AI assistant that can operate undetected.

MigMig has been engineered from the ground up to pass over 20 different detection checks. This article explains each detection mechanism and how MigMig's stealth architecture defeats it.

Detection Category 1: Virtual Audio Devices

How Platforms Detect Virtual Audio

When applications like Zoom detect a virtual audio device (such as VB-Cable, VoiceMeeter, or BlackHole), they flag the meeting as potentially compromised. Virtual audio devices are commonly used by recording tools and meeting bots to capture audio.

Platforms scan the system's audio device registry and look for:

• Virtual audio input devices — Software that emulates a microphone
• Virtual audio output devices — Software that emulates a speaker
• Audio loopback devices — Software that captures system audio output
• Unusual audio routing — Non-standard audio device configurations

How MigMig Defeats This Detection

MigMig does not create or register any virtual audio devices. Instead, it uses system-level audio capture that operates at the operating system's audio subsystem level. This means:

• No virtual devices appear in the audio device list
• No new audio devices are registered with the system
• No audio routing changes are detected
• The audio subsystem appears completely normal to meeting platforms

Detection Category 2: Process Scanning

How Platforms Scan Processes

Meeting platforms periodically scan running processes to detect known recording tools, meeting bots, and AI assistants. They maintain databases of process names, executable signatures, and behavioral patterns associated with unauthorized tools.

The scanning looks for:

• Known process names — Applications with names like "MeetingBot," "AudioRecorder," or "AITranscriber"
• Executable signatures — File hashes or digital signatures associated with known tools
• Behavioral patterns — Processes that exhibit unusual audio capture or screen recording behavior

How MigMig Defeats This Detection

MigMig's process name and executable are designed to be indistinguishable from normal system processes. The application:

• Uses a generic, non-descriptive process name
• Does not match any known signatures in detection databases
• Exhibits normal CPU and memory usage patterns
• Does not perform screen recording or unusual audio operations that would trigger behavioral detection

Detection Category 3: Network Traffic Analysis

How Platforms Analyze Network Traffic

Some platforms analyze network traffic patterns to detect meeting bots and recording tools. They look for:

• Unusual outbound connections — Connections to unknown servers during the meeting
• Data upload patterns — Consistent data transmission that suggests recording or transcription
• DNS queries — Lookups for domains associated with known AI services
• Traffic volume anomalies — Unusually high bandwidth usage during the meeting

How MigMig Defeats This Detection

MigMig processes all audio locally on your machine. During the interview:

• No audio data is sent to external servers
• No transcription data is uploaded to the cloud
• No DNS queries to AI service domains are made
• Network traffic remains at normal levels for a video call

The only network traffic during the interview is the normal video call traffic between you and the meeting platform.

Detection Category 4: Participant List Verification

How Platforms Check Participants

Meeting platforms track all participants in a meeting. If an unauthorized tool joins the meeting as a participant (even with a hidden or fake identity), the platform can detect it through:

• Participant count discrepancies — More participants than expected
• Identity verification — Participants that do not match expected accounts
• Behavioral analysis — Participants that do not speak, do not send video, or exhibit bot-like behavior

How MigMig Defeats This Detection

MigMig does not join the meeting as a participant. It operates entirely outside the meeting platform's participant tracking system. MigMig:

• Does not appear in the participant list
• Does not send any data to the meeting server
• Does not interact with the meeting platform's API
• Does not consume meeting platform resources

From the meeting platform's perspective, MigMig does not exist.

Detection Category 5: Screen Capture Detection

How Platforms Detect Screen Capture

Some platforms detect screen capture tools by monitoring:

• Screen recording software — OBS, Camtasia, QuickTime, and similar tools
• Screen capture hotkeys — Keyboard shortcuts that trigger screenshots or recordings
• Display driver hooks — Applications that intercept display output
• Window capture APIs — APIs used to capture specific application windows

How MigMig Defeats This Detection

MigMig does not capture your screen. It only captures system audio. There is no screen recording, no display driver hooks, and no window capture. The application operates purely in the audio domain.

Detection Category 6: Browser Extension Scanning

How Platforms Scan Extensions

For browser-based meetings (Google Meet in Chrome, Teams in Edge), platforms can scan installed browser extensions. They look for extensions that:

• Inject content into meeting pages
• Capture meeting audio or video
• Modify the meeting interface
• Communicate with external services during meetings

How MigMig Defeats This Detection

MigMig is a desktop application, not a browser extension. It does not install any browser plugins, does not inject content into web pages, and does not interact with the browser in any way. The browser remains completely unmodified.

Detection Category 7: Audio Fingerprinting

How Platforms Fingerprint Audio

Advanced detection systems analyze the audio characteristics of the meeting. They look for:

• Audio quality anomalies — Unusual compression or quality that suggests recording
• Audio routing patterns — Audio that appears to be routed through additional software
• Spectral analysis — Audio fingerprints that match known recording tools

How MigMig Defeats This Detection

MigMig captures audio at the system level without modifying it. The audio that reaches the meeting platform is exactly the same as if MigMig were not running. There is no quality degradation, no routing changes, and no spectral anomalies.

Detection Category 8: Resource Usage Monitoring

How Platforms Monitor Resources

Some platforms monitor system resource usage to detect unusual patterns:

• CPU spikes that suggest heavy processing (transcription, AI analysis)
• Memory allocation patterns associated with recording or processing tools
• GPU usage that suggests video processing or encoding

How MigMig Defeats This Detection

MigMig is optimized for minimal resource usage:

• CPU usage: 3-5% during transcription (well within normal variation)
• Memory usage: 150-250 MB (comparable to a lightweight browser tab)
• GPU usage: Zero (all processing is CPU-based)
• Disk I/O: Minimal (transcription cache only)

These resource levels are indistinguishable from normal background processes.

The Complete 20+ Check System

MigMig continuously validates its undetectability against the following detection checks:

Each check is tested against the latest versions of Zoom, Google Meet, Microsoft Teams, and Webex to ensure continued undetectability.

Continuous Updates

The detection landscape is constantly evolving. Meeting platforms update their detection mechanisms regularly, and MigMig's engineering team continuously monitors these changes. When a new detection method is identified, MigMig is updated to address it.

This commitment to ongoing stealth maintenance ensures that MigMig remains undetectable as platforms evolve their detection capabilities.

Using MigMig with Confidence

MigMig's stealth mode has been tested across thousands of interviews on all major platforms. No user has ever been detected or flagged for using MigMig. The combination of local processing, no meeting participation, and minimal resource footprint makes MigMig virtually invisible to detection systems.

Download MigMig for free and use your AI interview copilot with complete confidence in its undetectability.