OBLV Deploy
Secure Data Collaboration & Confidential Computing
Organizations today face several challenges in leveraging sensitive data for business insights, multi-party collaboration, and SaaS adoption.
The fear of data breaches, unauthorized access, and regulatory non-compliance often results in restricted data sharing and stifled innovation.
Securing Sensitive Data
System administrators, network engineers, and analysts often have unrestricted access to raw data, exposing organizations to internal and external threats.
Sharing Data between Teams
Financial Services organisations are heavily siloed, preventing different departments from sharing valuable data that would drive innovation.
Enabling Multi-Party Collaboration
Businesses and research institutions hesitate to share data, fearing exposure of confidential information.
Protecting Intellectual Property
Software development organisations struggle to protect algorithms and techniques when utilizing high-level languages in shared environments.
Establishing Trust in SaaS Services
Customers remain reluctant to share personal data with SaaS providers without clear assurances of its safekeeping.
The OBLV Deploy Advantage: Security & Collaboration
OBLV Deploy is a confidential computing platform that allows organisations to securely process sensitive data without modifications to existing applications. With OBLV Deploy, businesses can enable secure data collaboration, protect intellectual property, and build trust with customers—without sacrificing usability or performance.
No Code Changes Required
Deploy existing applications to secure enclaves with zero modifications to code.
Real-Time Cryptographic Attestation
Ensure only approved software and configurations are running before decryption keys are released.
Runs on Kubernetes
Secure workloads alongside regular applications using standard Kubernetes tools.
Multi-Cloud Compatibility
Available on AWS, Azure (preview), and more cloud providers coming soon.
How OBLV Deploy Works
1
Deploy Applications to Secure Enclaves
Applications run inside confidential computing enclaves without any need for refactoring or modification.
Encrypted inputs are processed securely, with decryption only happening inside the enclave—invisible to anyone, including administrators and cloud providers.
2
Enforce Cryptographic Attestation
Before processing data, the enclave requests decryption keys from a key management system.
These keys are only released once cryptographic attestation verifies that the correct software and configurations are in place.
3
Maintain End-to-End Security & Control
Connections to applications are validated via a proxy, ensuring data flows only through attested environments.
Organisations can revoke access at any time, immediately terminating data processing if security conditions change.
Kubernetes-First Deployment
Secure workloads run alongside regular applications on Kubernetes clusters. No operational disruption—standard Kubernetes tooling remains intact. Simple manifest updates define secure enclaves and permitted network connections.
Zero Changes to Software Development Lifecycle
Continue writing & deploying applications as usual—no modifications needed. Applications remain completely unaware they are running inside secure enclaves.
Industry-Leading Security Guarantees
Hardware-backed cryptographic attestation verifies enclave integrity before execution. Enclaves ensure immutable execution environments, preventing tampering or unauthorized access. Key management integration restricts decryption key access to only fully-verified secure enclaves.
Enterprises & Financial Institutions
Enable secure cross-team collaboration while maintaining data privacy and compliance.
Ensure zero-exposure of sensitive customer and financial data.
Healthcare & Research Organisations
Share clinical trial and patient data across institutions without breaching HIPAA or GDPR regulations.
Conduct privacy-preserving data analysis in multi-party collaborations.
Software & SaaS Providers
Give customers full assurance that their data remains private—even from the SaaS provider itself.
Protect proprietary algorithms while offering secure data processing solutions.
AI & Data Science Teams
Train machine learning models on sensitive datasets without exposing raw data.
Apply privacy-enhancing technologies like Differential Privacy for secure AI development.