Biometrics like fingerprints, facial recognition, and voice ID have become mainstream ā but attackers have learned how to bypass them through:
- Deepfake voice/video impersonation
- Synthetic fingerprint cloning
- Replay attacksĀ on stored biometric templates
As threat actors weaponize AI and biometric spoofing kits, relying solely on āsomething you areā is no longer enough.
The CyberDudeBivash Technical Breakdown
š¹ Limitations of Biometrics
- Cannot be changed once compromised.
- Vulnerable toĀ sensor spoofingĀ andĀ 3D mask attacks.
- Susceptible toĀ AI-powered deepfake bypassesĀ in remote verification.
š¹ Going Beyond Biometrics ā MFA 2.0
A truly secure multi-factor authentication strategy integrates:
- Something You KnowĀ ā Passphrases, PINs, or cryptographic keys.
- Something You HaveĀ ā Hardware tokens, FIDO2 keys, secure mobile apps.
- Something You DoĀ ā Behavioral biometrics like keystroke dynamics & mouse movement.
- Somewhere You AreĀ ā Geofencing and contextual location-based checks.
- Something That ChangesĀ ā Time-based OTPs, adaptive risk-based authentication.
š¹ Implementation Recommendations
- PairĀ biometricsĀ with hardware tokens (YubiKey, Titan Key).
- AddĀ behavioral analyticsĀ for continuous authentication.
- UseĀ geolocation & network contextĀ to detect anomalies.
- DeployĀ zero-trust access policiesĀ that verify every request.
š” At CyberDudeBivash, we help organizations design resilient identity protection systems that withstand even AI-powered spoofing attacks.
š cyberdudebivash.com | #CyberDudeBivash
#CyberSecurity #MFA #IdentityProtection #ZeroTrust #ThreatIntel #AIThreats #Authentication #SOC #CyberDudeBivash #StaySecure
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