PhotoShield employs AI and webcam technology to monitor and detect unauthorized use of smartphones or cameras near computer screens, effectively preventing sensitive information from being captured. This solution addresses the security risk posed by the "Analog Loophole," where displayed data can be compromised through visual means.
Funding
Funding not disclosed
Founders
Product
Problem
Sensitive data displayed on computer screens is vulnerable to unauthorized capture via smartphones, cameras, or shoulder surfing, creating a security gap known as the "Analog Loophole." Traditional cybersecurity measures often fail to prevent visual data breaches, especially in hybrid work environments.
Solution
PhotoShield employs AI-powered webcam monitoring to detect and prevent unauthorized attempts to capture screen content using smartphones or cameras. The system identifies potential threats in real-time and can block the offending device or alert security personnel. PhotoShield also detects shoulder surfing and can identify when no authorized user is present, preventing unauthorized viewing of sensitive information.
Target Audience
PhotoShield targets enterprises and organizations concerned with data security, particularly those in hybrid work environments, seeking to prevent visual data breaches and comply with data protection regulations.
Features
- AI-driven detection of smartphones and digital cameras pointed at computer screens
- Real-time alerts and blocking capabilities to prevent unauthorized image capture
- Shoulder surfing detection to prevent unauthorized viewing of sensitive data
- Presence detection to identify when no authorized user is present
- Tamper detection to identify when the camera is blocked or not functioning