Ushering in the Era of Confidential AI
With the revolutionary Blackwell and Hopper architecture GPUs, NVIDIA unlocked a new era of safeguarding "data-in-use" during GPU processing. Paired with Anjuna Seaglass, our partnership guarantees data confidentiality and integrity throughout the entire AI workload lifecycle.
Build customer trust by running AI and ML workloads with verifiable hardware-level protection that ensures maximum performance, security and privacy.
Ensure Secure Multi-Party Collaboration
Confidential AI facilitates secure collaboration with third parties while using proprietary data, algorithms, and AI/ML models.
Partners can share datasets without compromising confidentiality. Organizations can collaborate on model training. ISVs can sell direct access to their models while protecting IP.
Mitigate Generative AI and ML Risks
AI and ML systems, particularly LLMs, are susceptible to significant risks, including breaches in confidentiality and integrity, external attacks and insider threats, limiting their application on sensitive data.
Anjuna Seaglass offers the easy path to confidential AI workloads, no code changes needed, with data protected in all three states: in-use, in-motion, at-rest.
Mitigate Generative AI and ML Risks
AI and ML systems, particularly LLMs, are susceptible to significant risks, including breaches in confidentiality and integrity, external attacks and insider threats, limiting their application on sensitive data.
Anjuna Seaglass offers the easy path to confidential AI workloads, no code changes needed, with data protected in all three states: in-use, in-motion, at-rest.
Ensure Secure Multi-Party Collaboration
Confidential AI facilitates secure collaboration with third parties while using proprietary data, algorithms, and AI/ML models.
Partners can share datasets without compromising confidentiality. Organizations can collaborate on model training. ISVs can sell direct access to their models while protecting IP.
Ensure Secure Multi-Party Collaboration
Confidential AI facilitates secure collaboration with third parties while using proprietary data, algorithms, and AI/ML models.
Partners can share datasets without compromising confidentiality. Organizations can collaborate on model training. ISVs can sell direct access to their models while protecting IP.
Facilitate Regulatory Compliance
Effortlessly navigate stringent data privacy and security regulations while maximizing the potential of AI and ML.
The joint solution allows enterprises to validate the integrity and trustworthiness of LLMs through remote attestation, simplifying regulatory compliance.
Facilitate Regulatory Compliance
Effortlessly navigate stringent data privacy and security regulations while maximizing the potential of AI and ML.
The joint solution allows enterprises to validate the integrity and trustworthiness of LLMs through remote attestation, simplifying regulatory compliance.