Deliver Your Security Platform Inside Their Perimeter
Meet the strict data sovereignty mandates of finance, defense, and healthcare customers. Deploy your full stack on-prem or in customer VPCs while retaining the operational visibility and control of SaaS.
The Friction Between Modern Security and Private Deployments
Your enterprise customers demand the highest security, but their infrastructure requirements often force you to deliver a fragmented, unmanageable product.
Maintaining Snowflakes
Satisfying strict data sovereignty and compliance demands often forces you to build unmanageable “snowflake” or “offline” versions that drain engineering resources and fragment your product roadmap.
Stale Defense
Manual updates create version drift, leaving on-prem customers with outdated agents and stale threat signatures. You can’t guarantee protection against new vectors if the software is weeks behind.
Limited Operations
Debugging in high-security environments often requires slow back-and-forth emails or requests for VPN access that CISOs will inevitably reject, stalling critical support cases and frustrating customers.
No Managed Services
Your platform relies on cloud services like AWS Lambda, AWS RDS, and AWS S3. Re-architecting these for other cloud or on-prem environments is expensive and forces you to maintain a separate, degraded codebase.
Deliver Private Security with the Speed of SaaS
Give your customers total data sovereignty while retaining the centralized control, visibility, and update velocity of SaaS.
Deployment & Updates
Push updates and patches to private environments programmatically, ensuring all customers across AWS, Azure, GCP, on-prem, and more are protected against the latest threats instantly.
Zero-Trust Debugging
Debug secure environments without permanent VPNs. Request ephemeral, auditable remote access to customer appliances that must be explicitly approved by the customer, satisfying strict CISO requirements.
Full Stack Support
Tensor9 ingests your existing Terraform or Kubernetes manifests and compiles them for any target environment, automatically translating managed services (like RDS) into local equivalents without code rewrites.
Unified Observability
Treat distributed customer deployments like a single SaaS fleet. Stream logs, metrics, and traces from every private appliance back to your central dashboard for real-time health monitoring.
Customer Controls
Empower customers to define maintenance windows, approve operational access requests, and review full audit logs, ensuring your interactions always align with their strict internal compliance policies.
Delivering Zero-Trust Identity to the Enterprise
“To secure our customers’ most sensitive applications, we often need to run within their private environments. We chose to partner with Tensor9 because we believe their platform represents the future of multi-premise deployment. It provides the capabilities we need to take our cloud-native stack into private VPCs and on-prem environments, allowing us to solve for data sovereignty while keeping our codebase unified.”
How Tensor9 Works
Your Security Platform, Compiled for Their Environment
Tensor9 compiles your existing stack for any target, automatically translating cloud services to Azure, GCP, or on-prem equivalents, so you can deploy anywhere without maintaining separate codebases. Stream metrics, logs, and traces back to your control plane and remotely operate customer environments for a SaaS-like operational experience. Tensor9 runs in your environment to maximize control and security.
Frequently Asked Questions
Tensor9 is an enterprise any-prem platform. We enable security vendors, like you, to unlock hard enterprise customers that can’t share sensitive data. To do this, we help you convert your existing product for delivery inside the customer’s cloud or datacenter, so that sensitive data stays with the customer.
- Data Sovereignty (SaaS to BYOC): You have a cloud-based security platform, but a major bank or defense contractor requires the data processing to happen inside their own AWS account to meet strict residency laws.
- From Kubernetes-only to using cloud services: You augmented your Kubernetes stack with AWS services (databases, queues). Now, customers require deployment on Azure or GCP for security reasons, but the app is tied to AWS dependencies.
- Multi-Cloud Compliance: Your stack is optimized for AWS, but a healthcare prospect mandates deployment on Google Cloud or Azure to align with their internal compliance framework.
You can deploy to virtually any environment: customer-owned VPCs (AWS, Azure, GCP), private data centers, all with or without Kubernetes. The deployment experience remains consistent for you, regardless of the underlying infrastructure.
No. Tensor9 automatically translates your existing cloud-native stack into local equivalents for any environment, so you can deploy anywhere without maintaining separate codebases.
Tensor9 aggregates metrics, logs, and traces from all your distributed deployments and forwards them to your existing tools like Datadog or Prometheus. You can see the health of your entire fleet in real-time, just as if it were running in your own cloud.
Your application runs entirely within your customer’s sovereign boundary, and their sensitive data never touches our control plane. Tensor9 only receives metadata from customer environments. This can include things like:
- The versions of Tensor9 software running in your and your customers’ environments.
- The number of Tensor9 controllers in each environment.
- The memory/cpu/network capacity of each machine.
All logs configured to be emitted by your projected resources will be sent back to your log sink. It is up to you to make sure those logs do not externalize sensitive customer data.
No, it complements it. Deploying to customer-managed Kubernetes clusters provides flexibility for customers who want to run appliances in their own Kubernetes infrastructure, whether on-premises, in private data centers, or on self-managed cloud Kubernetes.