Fingerprint biometrics analyze the unique patterns of an individual’s fingertips, widely used for secure access. However, compromised fingerprints are permanent, and once stolen, they cannot be changed, making users vulnerable to long-term security threats.
Facial biometrics capture unique features of an individual’s face, such as the distance between eyes and nose shape, for identification. The risk lies in the ease of spoofing through deepfakes or photos, potentially leading to unauthorized access or identity theft.
Voice biometrics analyze vocal characteristics for identity verification, commonly used in voice-activated systems. The growing threat of voice cloning and spoofing raises concerns about impersonation and fraud in financial and communication systems.
Genomic biometrics use DNA sequences for unique identification in medical and forensic contexts. The risk is that once genomic data is exposed, it can reveal sensitive health information or be used for identity-related attacks.
Iris and retina biometrics rely on intricate eye patterns to authenticate individuals with high accuracy. However, this data can be difficult to secure and, once compromised, can be used for unauthorized access in high-security systems.
Behavioral biometrics track patterns in human actions, like typing speed or walking gait, to verify identity. These data points can be subtly gathered and exploited for profiling or manipulation without a person’s knowledge.