Security Overview
What makes Sphere's OrgBrain security architecture unique?
Sphere provides unparalleled security through a comprehensive, multi-layered approach that addresses enterprise-grade data protection at every level of the platform. Unlike other AI platforms that rely on perimeter security or trust-based models, OrgBrain implements an identity-first security architecture that ensures agents can never access data beyond what the user themselves could access.
How does OrgBrain prevent AI agents from accessing unauthorized data?
OrgBrain's security foundation begins at the Data Layer, where all access management is centrally controlled. Every user interaction, agent operation, and data request runs with the user's specific permissions, completely eliminating the risk of privilege escalation or agent "breakout" scenarios that plague other AI platforms. This creates an impenetrable security boundary where agents operate strictly within the user's established access rights.
What data sovereignty options does OrgBrain provide?
The platform recognizes that data sovereignty isn't just a preference—it's a regulatory requirement. OrgBrain supports data striping and regional storage based on your specific business and regulatory requirements. Whether you need to maintain data residency in specific countries, or meet industry-specific regulations, the system can partition and store data exactly where it needs to be, ensuring compliance without compromising functionality.
Can I choose my own AI models and deployment locations?
Yes, OrgBrain gives you complete control over your LLM selection and deployment. You can choose from multiple foundation models (Claude, Llama, DeepSeek, and others) and decide exactly where your data flows. This includes:
Cloud-based deployments with your choice of provider
Private cloud installations within your infrastructure
On-premises deployments for maximum control and air-gapped security
What security controls are implemented across the platform?
The architecture implements security controls at every layer:
Infrastructure Layer: Secure cloud and on-premises deployment options
Data Layer: Comprehensive governance, compliance, and privacy controls with identity-based access
Foundation Model Layer: Controlled AI processing with your choice of deployment location
RAG & Intelligence Layers: Secure retrieval and reasoning processes
Application Layer: Protected knowledge bots and agents
How does OrgBrain support compliance and audit requirements?
The integrated IT Ops & MLOps monitoring provides complete visibility into data access patterns, model usage, and security events. This observability ensures you can track exactly how your data is being used and by whom, meeting the most stringent audit requirements. The platform's comprehensive logging and monitoring capabilities support compliance with various regulatory frameworks including HIPAA, and industry-specific standards.
What makes OrgBrain different from other AI platforms in terms of security?
OrgBrain's identity-first architecture fundamentally differs from other platforms by ensuring that AI agents operate within strict permission boundaries from the ground up. While other platforms may rely on external security measures or trust-based models, OrgBrain embeds security controls directly into the data access layer, preventing privilege escalation and ensuring that sensitive enterprise data never leaves your control.
How does the multi-layered defense strategy work?
OrgBrain implements a comprehensive defense-in-depth approach where security controls are embedded at every architectural layer. This means that even if one layer were compromised, multiple additional security boundaries would still protect your data. The approach combines infrastructure security, data governance, controlled AI processing, secure retrieval mechanisms, and protected application interfaces to create a robust security posture.
What visibility do I have into how my data is being used?
The platform provides enterprise-grade monitoring and observability through logging that can be fed to IT Ops & MLOps systems. You can track data access patterns, monitor model usage, review security events, and maintain complete audit trails. This transparency ensures you always know how your data is being accessed and processed, supporting both security management and compliance requirements.