Your infrastructure can't be trusted. So security has to live at runtime.
TEEs and secure enclaves have been compromised. Trusting silicon is a bet against determined attackers.
Traffic analysis, side channels, and infrastructure compromise mean your data's path is exposed.
Memory inspection, debugging interfaces, and runtime analysis can extract logic and data during execution.
PandoCore adds a critical missing layer to your security stack: runtime protection. While encryption secures data at rest and in transit, and authentication controls access, your code remains vulnerable during execution. We've built a software-based runtime security primitive that protects sensitive logic and data while your code runs, preventing exfiltration even on compromised infrastructure.
"Deploy your AI model without fear of extraction"
Your proprietary model is your competitive advantage. Deploy it across any Kubernetes cluster—cloud, edge, or customer infrastructure—knowing the logic and weights stay protected even during inference.
"Run transactions where the infrastructure can't see"
Execute sensitive financial logic in containerized environments you don't fully control. The transaction processes correctly, but the infrastructure running it can't inspect, modify, or extract the logic.
"Protect any containerized workload with sensitive logic"
Whether it's proprietary algorithms, confidential business logic, or sensitive data processing—if your Kubernetes workload contains value, it needs protection. Deploy with confidence knowing your logic stays hidden even on untrusted infrastructure.
Whether you're securing critical workloads or looking to invest in the future of compute security, we want to hear from you.