Deepfake Detective
Analyze voice messages, video calls, emails, and text messages to determine what's real and what's AI-generated. Train your eye and ear to catch the subtle signals that separate authentic communications from deepfake attacks.
Ready to play?
Put your awareness to the test. See if you can spot the threats before it's too late.
Launch GameWhy This Matters
AI-generated deepfakes have moved from novelty to weapon. In 2024, a Hong Kong finance worker transferred $25 million after a video call with deepfake versions of their CFO and colleagues. Voice cloning now requires less than 30 seconds of sample audio.
The old advice — 'look for typos,' 'check if the voice sounds wrong' — no longer works. AI-generated phishing emails are grammatically perfect. Cloned voices are indistinguishable from the real person. Real-time deepfake video can fool colleagues on live calls.
The new defense is process-based, not perception-based. Verify unusual requests through established channels. Don't trust caller ID, voice recognition, or video appearance for high-stakes decisions. Treat any unexpected request involving money, credentials, or legal authority as potentially adversarial, regardless of how convincing the sender appears.
What You'll Learn
Identify visual and audio artifacts that indicate AI-generated content
Recognize that 'looks real' is no longer a reliable authenticity signal
Practice process-based verification instead of perception-based trust
Understand the limitations of current deepfake detection — and why verification processes matter more