Fortanix delivers deterministic security solutions for your most valuable digital assets using Runtime Encryption®.

Use Cases

Data-at-rest Encryption with Fortanix Self-Defending KMS

Data-at-rest encryption relates to a number of encryption methods, applied to different types of stored data across the IT Stack.

Learn how to store encryption keys securely in highly distributed environments

Secure Cloud Adoption

Modern enterprises have begun a historic migration to the public cloud and are now using hybrid or multi-cloud for their workloads. However key management is one of the most difficult puzzles to solve in cloud migration. Let us show you how Fortanix Self-Defending KMS can solve cloud key management use cases, including BYOK.

Learn how Fortanix Self-Defending KMS can protect any app in any cloud


Virtual environments running VMware can readily leverage vSphere VM Encryption or vSAN encryption to protect VMs and data-at-rest. However, enterprise key management that is both secure and adaptable to a dynamic software-defined infrastructure remains a challenge.

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Blockchain Key Management

Blockchain, given its ability to generate an immutable cryptographic record, can be useful for business transactions and has the potential to carry significant economic value. This inevitably increases the risk of theft and misuse of private keys.

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Internet of Things (IoT)

Connected Internet of Things (IoT) devices are growing exponentially and becoming increasingly intelligent. The evolution of IoT is generating business opportunity across all verticals with new solutions such as Smart Meters, Connected Cars, Health Monitors, Critical Infrastructure and more.

Fortanix's approach to establishing trust

Secure TLS Termination

To establish a secure connection with the web server (TLS), the web server has a private key and certificate. However, these secrets are often stored unsecured on the web server itself.

Securing Web Server TLS Private Keys

Secure Multi-Party Analytics

There is a growing need to process sensitive data outside the trust boundary or to process data from multiple external data sources, each owned by a different party, where all the data is sensitive and private.

RTE Secure and Private Analytics on Multi-Party Data Sources Solution Brief

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