I
- Identity and Access Management (IAM)
- Incident Response
- Industrial IoT (IIoT)
- Industry 4.0
- Infrastructure as Code (IaC)
- Infrastructure Security
- Innovation Product Design
- Innovation Product Development
- Insider Threat Detection
- Integration Testing
- Intelligent Automation
- Intelligent Process Automation
- Interactive Application Security Testing (IAST)
- Internet of Things (IoT)
- Internet of Things Platform
- Internet of Things Strategy
- Intrusion Detection System (IDS)
- IT/OT Convergence
Voice Biometrics
Simple Definition for Beginners:
Voice biometrics is a technology that uses unique characteristics of an individual’s voice, such as pitch, tone, and cadence, to verify their identity or provide access to secured systems or services.
Common Use Example:
A banking app uses voice biometrics to authenticate customers’ identities by analyzing their unique voice patterns during phone-based transactions, enhancing security and user experience.
Technical Definition for Professionals:
Voice biometrics, also known as speaker recognition, is a biometric authentication method that identifies individuals based on their distinctive voice patterns and characteristics. Key aspects of voice biometrics include:
- Voiceprint Creation: Capturing and storing a person’s voiceprint, which includes unique vocal features like pitch, frequency, rhythm, and pronunciation.
- Enrollment: Recording samples of an individual’s voice to create a reference voiceprint for future authentication.
- Authentication: Comparing a live or recorded voice sample against the stored voiceprint to verify the speaker’s identity.
- Anti-Spoofing Measures: Implementing techniques to detect and prevent fraudulent attempts to mimic or spoof someone’s voice for unauthorized access.
- Use Cases: Utilizing voice biometrics for secure access to devices, applications, banking services, call centers, and voice-controlled systems.