Google DeepMind introduces SynthID Bio for watermarking AI-generated proteins

Google DeepMind introduced SynthID Bio, a family of watermarking methods that embeds a verifiable signature into AI-generated biological code while preserving protein function in laboratory testing. In wet-lab tests across VEGF-A, the SARS-CoV-2 spike protein RBD and PD-L1, watermarked binder designs matched the hit rate, binding affinity and natural sequence diversity of unwatermarked versions, and for protein folding the method fine-tunes part of AlphaFold 3's diffusion network so predicted 3D coordinates carry a detectable signature. DeepMind is publishing the methods paper and open-sourcing the code, in vitro data and model weights, and says key challenges include making the watermark more robust against deliberate tampering.