Skip to content
Sunday, 4 October 2026
enltpl
Tenesys AI News
Subscribe

All News

TENESYS AI NEWS tracks the most important AI news and explains what changed, why it matters and whether a technology is worth testing.

All NewsModelsAgentsVoice AIAutomationBusinessResearchCyber Security
Any timeTodayThis WeekThis Month🔴 Breaking🟠 Important🧪 Worth Testing

#Watermarking — 2 articles ✕

Research

Google DeepMind Develops Watermarking for AI-Designed Proteins

Google DeepMind published research introducing SynthIDBio, a system that watermarks AI-designed proteins without compromising their function. Built on Google's SynthID technology (used for text/image watermarking), the system works with ProteinMPNN, a popular protein design tool, to embed detectable signals during the amino acid placement process. The watermark is randomly distributed across the protein sequence and can be detected using a cryptographic-like key, even though proteins only use 20 amino acids and have far less 'room' to hide signals than images.

Ars Technica
Research

Google DeepMind Introduces SynthID Bio to Watermark AI-Generated Proteins

Google DeepMind unveiled SynthID Bio, a watermarking technology that embeds an imperceptible, verifiable signature into AI-designed proteins and 3D structures without compromising their biological function. The system was tested on protein binders (VEGF-A, SARS-CoV-2 spike RBD, PD-L1) using AlphaProteo and a modified ProteinMPNN, and also fine-tuned into AlphaFold 3's diffusion network for watermarking predicted 3D structures. DeepMind is also collaborating with Stanford's Hie lab and Arc Institute to apply the approach to Evo 2, a genomic model, to watermark designed bacteriophage genomes. The goal is to strengthen biosecurity by helping DNA synthesis screening providers and public databases verify the provenance of AI-generated biological designs.

Google DeepMind