Al-Generated Attacks: The New Era of Threats to Authentication
summary
Generative deepfakes scale attacks with off‑the‑shelf tools: DeepFaceLive + virtual cam or DroidCam produce face swaps, motion reenactments and GAN outputs that an attacker injects as a payload or presents on a screen. Reported trends show 700% deepfake growth, mobile injections up ~300% and emulator attacks ~400%, and scams reaching tens of millions in losses. Defenses that work are rapid, AI‑driven and observable — real-time monitoring, liveness/presentation‑attack detection and fast model retraining.
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chapters (19)
- 0:00Introduction and speaker intro
- 1:53Rise of deep fake scams
- 3:15Presentation vs injection attacks
- 5:05Deep fake creation tools
- 7:13Threat landscape evolution
- 8:16Trends in attack scaling
- 9:20Tracking attacker profiles
- 11:06Attack and defense cycles
- 13:17Q&A session begins
- 13:39Voice biometrics vulnerabilities
- 15:173D modeling and Face ID risks
- 16:42Enterprise protection strategies
- 18:29Overlaying identity verification
- 19:57Indicators of compromise
- 21:44Spoofing detection necessity
- 22:28AI vs human verification
- 24:58KYC and biometric defenses
- 26:23Deep fake detection tools
- 27:06Closing remarks and resources
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