Use case DiscoveR AgentIQ VectaX

Catch the risk before launch, block it in production

DiscoveR scans pre-deploy, AgentIQ enforces at runtime, VectaX seals the data throughout. One loop, not three tools.

Acts under rules it can never bend

CISOHead of AISystem integratorsCyber vendors & MSSPs

The problem

Pre-prod findings die in a Jira backlog. Runtime sees attacks the red team never imagined.

Pre-prod findings rot in a Jira backlog while runtime faces attacks the red team never imagined. Two halves that never meet.

Mirror restores Identity · Policy · acts under rules it can never bend

How it works

01

Find

DiscoveR scans pre-deploy and maps what could go wrong.
02

Enforce

AgentIQ blocks those classes at runtime, in the request path.
03

Seal

VectaX keeps the data encrypted throughout. One find-fix-protect loop, not three disconnected tools.

Defence, government, and regulated workloads can't legally move data outside their boundary. So they're locked out of AI entirely.

A point-in-time pentest is stale the week after it's filed. New jailbreaks land daily.

"Trust us, we logged it" doesn't pass a regulator anymore. You need signed, tamper-evident proof for every decision.

Get started

FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.