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 CISO
Govern AI the same way you govern the rest of the stack.
Shadow agents in every team, frameworks updating quarterly, board questions you don't yet have answers for. AI is the part of your stack with the least mature security story, and the highest exposure.
Inventory, identity, policy, and proof across every AI surface in one platform.
Use cases for this audience
8 scenarios
Find every agent before it finds your data
Copilots and automations are spreading inside the perimeter. The ones nobody approved have standing access and no owner.
Govern what your agents reach for
MCP servers, plugins, and SaaS tools quietly extend agent blast radius. Almost nobody has a policy at that boundary.
Know which attacks your AI would actually survive
A point-in-time pentest is stale the week after it's filed. New jailbreaks land daily.
Show the auditor what your AI did, and why
"Trust us, we logged it" doesn't pass a regulator anymore. You need signed, tamper-evident proof for every decision.
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.
Explain in plain English what an agent did and why
When an agent does something it shouldn't, your IR team is left guessing across logs that were never written for them.
Get started
See encrypted AI security in action.
FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.