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World Congress 2025 • Aug 20, 2025 • Session details

Secure and Private AI - DeepMask

Hissan Usmani

Build a secure enterprise AI without risking data leaks. DeepMask's zero-retention platform instantly deletes every prompt, guaranteeing your sensitive corporate knowledge never trains external models.

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#1 about 1 min

Addressing corporate compliance challenges with secure enterprise AI

Because compliance policies restrict public model usage, specialized secure environments provide a compliant bridge for integrating enterprise AI.

#2 about 1 min

Evaluating data sovereignty limitations and internal expertise barriers

Since public endpoints risk data sovereignty and internal teams lack specialized skills, pre-packaged secure platforms eliminate technical adoption barriers.

#3 about 1 min

Building secure data environments with dedicated GPU infrastructure

Relying on external compute exposes proprietary information, so owning independent GPU infrastructure and hosting open-source models ensures complete environment isolation.

#4 about 2 min

Customizing enterprise intelligence via automated RAG and secure APIs

Transforming unstructured corporate documents into actionable intelligence requires unified pipelines for system prompting, secure RAG, and private API integration.

#5 about 1 min

Maintaining intellectual property safety through zero data retention

To alleviate concerns over model training on proprietary inputs, a transient closed-loop architecture guarantees zero data retention and strict IP protection.

#6 about 1 min

Expanding secure intelligence capabilities through targeted workflows and scaling

Moving beyond centralized knowledge chat interfaces, dedicated workflow assistants extend the reach of secure private artificial intelligence throughout business operations.

Matching moments

1:23 min

Securing enterprise data with custom AI deployments

Oliver Will Oliver Will · World Congress 2025

2:29 min

Deploying artificial intelligence in heavily regulated legacy enterprises

Justin Boitano Justin Boitano +2 · World Congress 2026 North America

1:50 min

Overcoming data privacy concerns to safely adopt artificial intelligence

3:33 min

Managing shadow ai adoption and enterprise data leakage

Kai Grunwitz Kai Grunwitz +2 · World Congress 2025

5:52 min

Managing enterprise data privacy across global inference providers

Anurag Goel Anurag Goel +4 · World Congress 2026 North America

1:24 min

Training small AI models on secure private data

Alexandre Guenoun Alexandre Guenoun +3 · World Congress 2026 Europe

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