Bring AI to the data you can't move
Your most regulated records sit on the wrong side of the AI line because every model has to decrypt to compute.
For the head of AI
Ship more models. Defend them less manually.
Every new model is a new attack surface, a new compliance ask, a new audit trail to build by hand. The work of running AI safely is eating the work of shipping AI well.
One control plane across every model and agent your team owns.
Use cases for this audience
9 scenarios
Encrypted context, memory, and vector DB for every model and agent
Knowledge bases, vector stores, conversation history, agent memory. Every piece of context an AI reaches for is plaintext the moment it's loaded.
Joint analysis with partners who can't share their data
Reinsurers, banks, hospitals, and governments want shared intelligence but can't legally pool the underlying records.
Fine-tune on customer data without ever seeing it
Domain models need real customer data to be useful. Training in plaintext means you hold what you swore you wouldn't.
One endpoint for every model, with policy at the door
Each team hits its own provider its own way. Keys sprayed across services, prompts egressing in the clear, no single place that can say what was asked or whether it was allowed.
Pick the encryption posture per workload, not per gateway
Some routes need raw speed. Others need FHE all the way through. You shouldn't have to pick one for the whole org.
Run AI inside an air-gapped or sovereign boundary
Defence, government, and regulated workloads can't legally move data outside their boundary. So they're locked out of AI entirely.
Catch the risk before launch, block it in production
Pre-prod findings die in a Jira backlog. Runtime sees attacks the red team never imagined.
Stop your model from being cloned out the back door
Distillation attacks turn your API into someone else's competing model in weeks.
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See encrypted AI security in action.
FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.