enclaive provides a Multi-Cloud Platform enabling 3-D encryption for data at rest, in motion, and in use through confidential runtime environments. This platform secures sensitive data and intellectual property even during processing, protecting against cloud providers and insider threats. The solution ensures continuous regulatory compliance while allowing organizations to leverage hyperscaler performance and AI capabilities risk-free.
Funding
$1.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face challenges related to vendor lock-in, unpredictable costs, security risks, and compliance complexities when storing and processing sensitive data in the cloud. Traditional cloud environments can expose data to unauthorized access and breaches due to shared infrastructure and potential single points of failure. Meeting regulatory requirements for data protection in these environments can also be difficult, especially when managed by third parties.
Solution
Enclaive provides a confidential cloud computing platform that isolates data and code from the underlying infrastructure using confidential computing technologies. This approach ensures robust protection against unauthorized access, even from the cloud provider itself. Enclaive's platform allows organizations to run workloads in secure enclaves, leveraging hardware-based security to protect sensitive data-in-use. By decoupling trust from the cloud environment, Enclaive simplifies key management, access control, and compliance across diverse cloud platforms. The platform supports various workloads, including Kubernetes clusters, virtual machines, and managed databases, without requiring code changes.
Target Audience
Enclaive targets organizations in industries with strict data security and compliance requirements, such as legal, tax, healthcare, government, industrial, and financial services, as well as enterprises undergoing cloud transformation and AI/ML development.
Features
- Hardware-based security with confidential computing to isolate data and code
- Support for confidential virtual machines (Buckypaper) and Kubernetes (Dyneemes)
- Managed databases with data-in-use encryption (MariaDB, MongoDB, PostgreSQL, Redis)
- Virtual HSM for key and workload identity management (Vault, Nitride)
- Integration with existing cloud environments and automated invoicing
- Provider-agnostic infrastructure allowing comparison between various cloud providers
- Solutions for secure AI, including secure interactions with LLMs and vector databases