Garnet enables secure interactions with multiple LLMs by using confidential servers and vector databases to pseudonymize data, ensuring compliant and secure management
In regulated industries such as government and eHealth, stringent data privacy requirements pose significant challenges when interacting with large language models (LLMs) like ChatGPT. Without Garnet, organizations face several critical issues
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With the use of LLMs companies struggle to meet data privacy laws, putting them at risk of non-compliance.
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Sensitive data faces risk of exposure during interactions with LLMs, potentially leading to data breaches.
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Manual data security management increases complexity and operational overhead.
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The absence of a GenAI firewall hinders full utilization of LLM capabilities, citing security and compliance concerns.
Garnet meets the demand for using LLMs in regulated industries by ensuring compliance through secure data handling in a confidential enclaive cloud with Qdrant vector database.
It integrates seamlessly, offers advanced authentication, customizable policies, real-time monitoring, and a user-friendly interface.
All data interactions are encrypted to prevent unauthorized access.
The server environment is isolated and secure, ensuring data privacy.
Easily integrates with existing IT infrastructure and workflows.
Tailor security policies to meet specific organizational needs.
Tailor security policies to meet specific organizational needs.
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Supports multi-factor authentication to enhance security.
The platform is designed for ease of use without compromising on security.
Experience unparalleled security, cmpliance and confidentiality with enclaive
By harnessing the power of confidential computing, transition your IT infrastructure into the cloud environment securely. Only authorized workloads, applications, and services have access to specific resources, minimizing the risk of unauthorized access, data breaches, and insider threats.
Enhanced efficiency and cost-effectiveness are achieved through the streamlined handling of secure data interactions, which not only boosts productivity but also reduces reliance on additional security measures, resulting in significant cost savings for businesses.
The solution is versatile, scalable to meet the needs of organizations ranging from small businesses to large enterprises. It supports diverse deployment models, including on-premise, cloud-based, and hybrid environments, ensuring flexibility and compatibility with different IT infrastructures and operational preferences.
Explore our product with a sneak peek into its functionality and user experience. Get a demo below to discover how it works and feels firsthand.
Explore our product with a sneak peek into its functionality and user experience. Get a demo below to discover how it works and feels firsthand.
Discover the power of our secure compute environments and keep your data safe from prying eyes. Sign up or contact us for more information.
Find answers to common questions about our products and services. For further questions, book a call with us.
Yes, Garnet supports various deployment models including on-premise, cloud-based, and hybrid environments, offering flexibility in integration with different IT infrastructures and operational setups.
Garnet enables these sectors to utilize LLM technologies while maintaining strict data privacy standards and regulatory compliance. It ensures data integrity and confidentiality through robust security protocols, making it an ideal choice for organizations prioritizing data protection
Garnet supports various deployment models including on-premise, cloud-based, and hybrid environments, offering flexibility in implementation.
Garnet leverages a Qdrant vector database and operates entirely in a confidential enclaive cloud, employing advanced security measures like confidential computing.
Garnet takes documents, vectorizes them, pre-filters, generates prompts, and pseudonymizes data before contacting LLMs, ensuring GDPR compliance and data confidentiality.