Last mentioned: Mar 24, 2026
AI-Supercharged TFV
Generative AI and deepfakes increase the scale and sophistication of non-consensual content.
The AI Pivot
Integration of deepfakes and 'black box' AI algorithms to mask fraudulent investment schemes.
NFT & DeFi Hype
Scams shifted to 'rug pulls' in decentralized finance and fake digital collectibles.
ICO Era
Fraudsters used fake whitepapers to lure investors into initial coin offerings.
Doxxing & Social Abuse
Widespread digital abuse and doxxing become common on social platforms.
The convergence of artificial intelligence and digital assets has birthed a sophisticated new class of financial fraud, leveraging deepfakes and 'AI-washing' to deceive investors. Regulators are intensifying oversight as scammers use the complexity of AI to mask traditional Ponzi schemes and fraudulent token launches.
Hong Kong's Privacy Commissioner and 60 global organizations have issued a joint call to action against the 'supercharged' rise of AI-driven deepfakes. The initiative advocates for a 'safety by design' approach that prioritizes the protection of women and girls, who currently comprise 90% of non-consensual deepfake victims.
A new report from Bankrate highlights a sharp increase in financial fraud, driven by the integration of artificial intelligence into traditional scamming techniques. As AI eliminates common red flags like poor grammar and generic messaging, both consumers and financial institutions face a heightened risk of sophisticated social engineering attacks.
This page surfaces every story mentioning Deepfakes across our cybersecurity coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running cybersecurity beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where Deepfakes was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |