Security
AI agents under control: your data protected, people stay in charge.
Plugging in an AI agent is easy. Keeping it under control is our job. We secure your agents, already running or still a project: least-privilege access, guardrails on every exchange, human approval of sensitive actions, and everything logged.
This is for you if
AI agent security: do any of these sound familiar?
- Your teams already use AI tools, with no shared rules or visibility (so-called shadow AI).
- You want an agent to act on your systems, but not without guardrails.
- Your management or your security team wants assurances before going further.
What you get
Useful agents whose every action is controlled, logged and can be stopped.
For example: an agent that prepares replies to your customers, where every message waits for approval from someone on your team, with a log you can consult at any time.
Proposed action
Send the prepared reply to the customer
- Data kept within your perimeter
- Access limited to the case at hand
- Sensitive data masked
Audit log
- 09:14Request received and sorted
- 09:14Sensitive data masked
- 09:15Reply prepared by the agent
- 09:15Approval requested from your team
- 09:16Reply approved, sending logged
Your data stays with you
Agents and data hosted within your perimeter, on the cloud of your choice, European clouds included. Your data is never used to train models.
Least-privilege access
Each agent only reaches the data and tools its task needs, with limited, revocable rights.
Guardrails on every exchange
Sensitive data masked, hijacking attempts blocked, answers checked before any action.
People stay in charge
Payments, emails, releases, deletions: sensitive actions wait for sign-off from someone on your team.
Everything is logged
Every decision, tool call and approval is recorded and open to your teams.
Measured, capped, stoppable
Quality evaluated continuously, costs capped, alerts on any drift, and any agent can be stopped at any time.
Your data stays with you, and no sensitive action goes out without human validation.
How it works
AI agent security: clear steps, taken with your teams.
Map
We list your AI uses, the data they touch and the actions they can trigger: the basis of your AI governance.
Assess the risks
Data leaks, hijacking through malicious instructions (prompt injection), unwanted actions: we assess every use.
Set up guardrails
Limited rights, filters, human approval, audit log and emergency stop, in your tools.
Monitor
Quality, costs and incidents tracked continuously, with alerts and regular reviews with your teams.
How do you keep AI agents under control?
By design: each agent only reaches the data and tools its task needs, guardrails filter what goes in and out, and someone on your team approves every sensitive action. Everything is written to an audit log, and any agent can be stopped at any time.
Is your data used to train models?
No. Your data stays within your perimeter, and we set up the models and their hosting so that it is not used for training.
What happens if an agent makes a mistake?
Sensitive actions wait for human validation, so a mistake is stopped before it has any effect. Answer quality is evaluated continuously, any drift triggers an alert, and every action can be traced in the audit log.
Go further
Other offers that may help.
Are your AI agents under control? Let’s talk.
Describe your need in a few lines: an engineer gets back to you and proposes a suitable scope.