MonitorDog

Visual Threat Detection

From physical threats like smartphone recording to unauthorized access, we defend against visual data leaks via displays in real-time. Our advanced AI precisely recognizes abnormal access and environmental patterns around the screen to block potential threats at the source. Discover our 3-step visual security layer that proactively protects your core enterprise assets.

Core Capabilities

Endpoint Visual Security

Smartphone Detection

Accurately detects screen-facing mobile devices, even at skewed angles or when partially obscured.

Close-up of a smartphone camera
  • Detects smartphones in recording positions with 99% accuracy
  • Supports all commercial smartphone models and form factors
  • Continuous model optimization via proprietary AI datasets
  • Instant, real-time threat detection within ~50 milliseconds

Real-Time Absence Detection

Vision AI tracks user presence in real time, instantly locking the display upon absence to prevent data leaks.

Example of a user away from their desk
  • Tailored control options like Auto-Lock and Do Not Disturb based on policy
  • Precise detection delay to prevent false positives from glance-aways
  • Flexible unlock options to seamlessly resume workflow upon return
  • Instant screen protection & automated audit logging upon absence

Shoulder-Surfing Detection

Utilizes human detection technology to identify unauthorized individuals attempting to peek at screen content.

Webcam example
  • Simultaneously detects multiple faces within the camera's view
  • Tracks and identifies the gaze direction of unauthorized persons
  • Automatically locks sensitive screens instantly upon threat detection
  • Flexible sensitivity adjustments tailored to various workplaces

Behavior & Environment Analysis

Advanced behavioral AI analyzes action patterns to precisely distinguish webcam tampering or recording attempts.

Graph analysis
  • Tracks and detects recurring recording or photography attempts
  • Identifies specific screen-directed gestures and movements
  • Provides adaptive environment feedback based on ambient lighting
  • Contextual analysis dramatically reduces false positive rates