Ask why. Get the policy line.
youwhy was call #8412 blocked?
novapolicy 14.2: finance agents may not export customer tables. matched export on db.users. decided in 0.4ms.
Control what your AI agents can do.
Xenovia is the control layer between your agents and everything they access.
Advised and backed by people who led teams at
The problem
AI agents are becoming attack surfaces.
An AI agent is software with real access to your systems, data, and money. It follows instructions and may not know when it should stop.
Traffic on its way to your systems.
The thesis
AI needs a security control plane.
Every tool you already run sits either side of the action. Identity decides in advance, the SIEM reads about it afterwards. A control plane stands in the path, and decides.
One call at a time, read at the plane, then decided.
01
Observe
Every call arrives in one place, in full: arguments, data, identity.
02
Understand
The model reads what the call is actually trying to do.
03
Enforce
A deterministic engine returns allow, redact, escalate or block.
04
Respond
Blocked calls stop dead. Escalations wait for a person.
05
Audit
The decision and its evidence are written in the same step.
The platform
Xenovia is the control plane for the agentic era.
We build the runtime layer that sits between AI agents and everything they can reach: one gateway that observes, enforces, and writes evidence as it happens. The platform itself is fully agentic: every workflow inside it is an agent, and Nova is the one you meet.
Platform AI · NovaYou do not operate Xenovia through menus; you ask, and the platform’s resident agent answers from the record.
Say the rule. The policy writes itself.
yousupport agents may read orders, never refunds over $500
novadrafted: 2 rules, 1 approval gate. staged for your review.
Hand it the incident. Get the timeline.
youincident #2209, what happened?
nova6 calls, 1 escalation, human approval at 14:02. timeline attached.
Core capabilities
Four things a control plane has to do.
Not fifteen features. Four jobs, each of which has to hold on its own before the next one means anything.
Observe
Every agent action, model call and tool invocation, in one place as it happens.
Govern
Policies, permissions and human approval: what each agent is allowed to do.
Protect
Prompt injection, data leakage and unsafe actions, stopped before they land.
Prove
Audit trails, risk scoring and compliance evidence, written as it happens.
How it works
Connect, define, control.
Three steps, once. Nothing to rewrite in your agents, and nothing that has to be right on the first try. Policies change without redeploying anything.
01
Connect
Point your agents at Xenovia. One gateway, whatever framework or model they run on.
02
Define
Write the policies once: what each agent may call, read, spend and do without asking.
03
Control
Xenovia evaluates every action against them, enforces the verdict, and records it.
Use cases
Whoever owns the risk, owns this.
The same control plane, read four ways, because the question changes depending on which desk it lands on.
Know what every AI agent is doing.
Every call, every tool, every refusal, and the ones that stepped outside their scope on top, not buried.