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.
For cybersecurity vendors and MSSPs
Extend your service into the AI surface, with the layer your competitors don't have.
Your customers' AI deployments are already a service ask. Today you cobble together half-solutions; what they want is one provider who covers the AI surface the way you cover the rest.
DiscoveR and Zero as the AI-specific layer of your service. White-label, reseller, or co-sell.
Use cases for this audience
6 scenarios
Stop the wrong agent action at runtime, not in a dashboard
Agents act with standing access. The most you get back today is a chart explaining what already broke.
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.
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.