Biometrics
Biometrics is the measurement and automated recognition of people using distinctive physiological or behavioral characteristics for identification or identity verification.
Software Security for Developers
Biometric data is information representing measurable physical or behavioral characteristics of a person for identification or authentication.
- How it is used
- Supports passwordless customer login through device biometrics, with password-based multifactor authentication as a fallback.
- How deep it goes
- Explains biometric types, enrollment-to-token flow, template storage, spoofing, privacy concerns, and false-rejection risks.
- Examples
- Uses fingerprints, facial recognition, iris or retina scans, voice recognition, and palm-vein patterns on personal and high-security devices.
- What you can do after
- Apply biometric login through WebAuthn and device sensors while recognizing spoofing, replay, privacy, and false-rejection risks.
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Introduction to Generative AI, Second Edition
Biometric analysis examines distinctive biological or behavioral characteristics, including facial movements, speech cadence, and vocal patterns.
- How it is used
- Supports synthetic-media detection by evaluating biological and behavioral signals alongside visual and contextual evidence.
- How deep it goes
- Explains signal categories and their value, but stops short of implementation and treats reliable detection as unresolved.
- Examples
- Uses breathing, blinking, heart rate, facial movements, microexpressions, speech cadence, and vocal patterns as detection signals.
- What you can do after
- Diagnose possible synthetic media by comparing biological and behavioral patterns with visual artifacts and contextual evidence.
Read how Introduction to Generative AI, Second Edition explains biometrics →
Data-Driven Cybersecurity
An authentication method that identifies a person using distinctive physiological or behavioral characteristics.
- How it is used
- Uses distinctive physiological traits to identify people as part of authentication, alongside passwords and passwordless technologies.
- How deep it goes
- Explains biometric identifiers and illustrates metric-based recalibration, but does not detail system implementation.
- Examples
- Uses fingerprints, facial recognition, retinal scans, and DataSecure’s before-and-after authentication results.
- What you can do after
- Diagnose and improve biometric access by analyzing false rejections and acceptances, recalibrating thresholds, and monitoring results.
Related concepts
- palm-vein scanningincludes · Palm-vein scanning is biometric authentication or identification based on vein patterns inside a person's palm, typically captured with infrared sensors.
- speech recognitionincludes · Speech recognition is the computational conversion of spoken language from audio into a machine-readable representation, typically text.
- passwordless authenticationkind of · Passwordless authentication is an authentication method that verifies a user’s identity without requiring a conventional password.
- WebAuthnpart of · WebAuthn is a web authentication standard and browser API that enables public-key authentication using credentials managed by platform or external authenticators.
- authenticationkind of · Authentication is the process of establishing or verifying the identity of a user, service, device, or other communicating entity.
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