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Perplexity’s Hybrid AI: Keeping Confidential Data Secure and Local

Perplexity has unveiled hybrid compute for its AI platform, Computer, enabling a single AI agent to split tasks between cloud-based frontier models and smaller models running locally on Apple silicon Macs. This setup routes sensitive data to local devices, ensuring it never leaves the user’s machine. The system uses a Privacy Gate, a classifier running on the device that detects personally identifiable information to prevent sensitive data transmission to the cloud. Users can choose whether flagged data is processed locally or shared. Targeted at enterprises, this approach balances cutting-edge AI intelligence with privacy and security, especially for confidential tasks like legal work, financial modeling, and marketing analytics. The platform supports models from Google, Alibaba, and a proprietary Perplexity-trained version, emphasizing local inference to mitigate geopolitical risks. Perplexity also offers robust controls for enterprise compliance and transparency, including audit logs and opt-out data policies. This innovation addresses the critical challenge of data privacy in AI adoption, blending cloud power with local security to meet professional standards.

Venturebeat
Venturebeat