Ripple CEO Brad Garlinghouse has introduced Scamberry Pie, an anti-fraud initiative aimed at helping users identify suspicious websites and messages while Ripple steps up action against malicious domains and fake XRP livestreams.
Michael Saylor, executive chairman of MicroStrategy, warns of AI-generated deepfake videos impersonating him and promoting Bitcoin giveaways. The scams promise to double crypto sent, exploiting excitement around a spot BTC ETF. Saylor reminds investors: 'There's no such thing as a free lunch.'
On March 9, 2026, ZK computing firm Brevis launched Vera, an end-to-end media authenticity system that uses cryptographic proofs to verify image and video origins without exposing user data, tackling the deepfake-driven trust crisis.
On March 9, 2026, zero-knowledge proof company Brevis launched Brevis Vera, an end-to-end media authenticity system that cryptographically verifies media origins and edit history without exposing user data, offering a paradigm shift from AI detection to cryptographic proof.
On March 9, 2026, Brevis launched Vera, an end-to-end media authenticity system using zero-knowledge proofs to cryptographically verify media origins and edits without exposing user data, combating deepfakes and restoring trust.
Brevis launches Vera, an end-to-end media authenticity system that uses zero-knowledge proofs (zkVM) to let images and videos cryptographically prove their origin and editing history without exposing user data, shifting from detection to proof to combat deepfake-driven trust erosion.
As generative AI makes deepfake audio and video ubiquitous, celebrities like Taylor Swift and Matthew McConaughey are turning to trademark registrations to protect their voices, images, and catchphrases. This article examines the existing NIL protections (SAG agreements, copyright, right of publicity, Lanham Act) and explains why traditional trademark law is narrow. It details the specific registrations and applications filed by McConaughey and Swift, and analyzes the potential—and limitations—of using trademarks to combat unauthorized commercial exploitation of AI-generated content. While trademarks may supplement existing claims, their effectiveness remains untested in court.
The 2026 Anti-Fraud Report by Bitget and SlowMist reveals that cross-asset allocation users have grown from under 1% to over 10% in a year. Fraud tactics have evolved into complex attack chains incorporating AI-generated content, deepfakes, voice cloning, and multi-channel social engineering. Bitget's security system blocked over 150 million malicious requests, identified 13,000 high-risk IPs, and helped recover approximately $32.3 million for users in the past 12 months.
