It runs in someone else’s cloud.Runs in your infrastructure.
It flags the damage afterwards.Every agent action stopped before it runs.
In practice
Built for depth.
Runtime security that follows an agent the whole way down,
wherever you run it.
Authority before action
Every action, before it happens
Which action, on whose authority, and where the instruction came from. Four enforcement points, from the prompt to the tool result.
Showing where is enforced
UserClient application
Firewall
LLMModel endpoint
Firewall
ActionsTools, APIs, MCP servers
Deterministic by design
No LLM as a judge
Purpose-trained classifiers instead. Same input, same conclusion, every time. Not a guess with a confidence score.
Result
LLM as a judge
Policy Autopilot
Security that works in your domain
Generic rules do not know your business. Autopilot learns from your live traffic and adapts to your domain.
MonitorEnforce
ProposeApprove
Sovereign by default
A European alternative you self-host
Cloud, on-premise or fully air-gapped. Same firewall, same policy engine, same speed.
Your cloud
On-premise
Air-gapped
PromptTheir cloud
Other approaches
PromptYour stack
Our approach
The threats
What it stops.
Four ways an AI deployment goes wrong in production. Each one has a control that
closes it, configured in the same place and reported in the same table.
An agent is an employee that can do almost anything unless an identity policy says otherwise. Who may see and process what, when, and in which environment. MATVIS makes agents managed identities, not open tools.
Guardrails02 / 04
It says the wrong thing to the wrong person.
Compliance violations on the way in. Brand damage and regulated content on the way out. Context-aware guardrails for every topic you define, enforced in both directions.
Retention03 / 04
You never get it back once it has left.
Model providers store your prompts and may train on them. Once it has left, it is theirs. The vault masks personal and sensitive data before the request leaves and restores it on the way back.
Evidence04 / 04
Nobody can prove what happened.
Threats are stopped as they happen and kept as evidence: what was checked, what was found, under which policy. Straight into your SIEM, and your SOC can overrule any decision.
Why now
AI is the #2 global business risk.
Last year it was #10. Three things moved it, and all three land in your stack in 2026.
Allianz Risk Barometer 2026
01
Architecture
A third of enterprise apps will act on their own by 2028. Nothing in your stack was built to authorise them.
Gartner, Oct 2025
02
Attacks
Prompt injection reports rose 540% year over year. A security layer that is itself an LLM reads attacks the same way.
HackerOne, 2025
03
Regulation
AI Act high-risk duties apply. Under NIS2 and DORA, an external model endpoint is a third party you answer for.
Our clients trust us with their most sensitive compliance data. With MATVIS, we guarantee that this data is protected at every step.
With MATVIS as our technology partner, our customers benefit from enterprise AI while enforcing GDPR compliance at the same time.
MATVIS runs entirely on our own infrastructure, responds orders of magnitude faster than anything else we measured, and protects more reliably. We did not expect to get all three at once.