After a deepfake voice fooled her grandfather, this founder sprang into action
- ID
- 29335
- Status
- summarized
- Published
- 28 Sep 2026, 11:00 PM
- Fetched
- 28 Sep 2026, 11:42 PM
- Provider
- TechCrunch
- Category
- technology
- Original URL
- https://techcrunch.com/2026/09/28/after-a-deepfake-voice-fooled-her-grandfather-this-founder-sprang-into-action/
- Source URL
- https://techcrunch.com/feed/
Summary
- Score
- 5.0
- Created
- 28 Sep 2026, 11:43 PM
- Tags
- Audience
- developersai_ml_learnerssaas_founders
What happened
TechCrunch profiles DetectifAI, a San Francisco-based company founded by Tarini Padmanabhuni after her grandfather paid a ransom to a deepfake voice imitating his brother roughly two years ago. DetectifAI's pitch is that it designs compact models from the start to run inside a phone's operating system, giving an on-device verdict on whether a voice in calls, voice messages, or other audio is AI-generated, rather than shrinking cloud models as competitors do. It is licensing its tools first to phone manufacturers, and cites FBI figures that Americans lost close to $900 million to AI-driven scams last year, up 24% from 2024, with people 60 and older losing twice as much as those aged 50 to 59.
Why it matters
The concrete detail here is the distribution choice: DetectifAI is selling to phone makers as an OS-level licence, not shipping an app you can install, so there is nothing for a builder to try today. If you are thinking about scam/deepfake defence for Malaysian users, the useful question is which layer you can actually reach (banking app, telco, OEM) and whether on-device inference fits your latency and privacy constraints, since audio never leaving the handset is the specific claim being made. Treat the $900M/+24% FBI figure as the size of the scam problem, and note the item gives no benchmarks, pricing, or availability.
Discussion angle
The article contrasts two engineering routes: shrink a big cloud model to fit a phone versus design a compact model for the device from day one. Ask the room which they'd pick for a latency-sensitive on-device feature, and whether OS-level detection or app-level detection is the better place to stop a voice scam.