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Security built into every step, from the cloud to your AI agents.

Least-privilege access, rules described as code and checked continuously, checks on every release, human approval of sensitive actions: we build cybersecurity in from the design stage, with your teams, and you can demonstrate it at any time.

Our offers

Security where your risks are.

Our approach

The principles we apply on every project.

Security and human control

Plugging in an AI agent is easy. Keeping it under control is our job.

An agent that acts on your systems needs the same safeguards as a new colleague. We build the guardrails in from day one, not after the incident.

  • 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.

Frequently asked questions

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What do NIS2 and DORA require?

NIS2 is a European directive that extends cybersecurity obligations to many companies, and DORA governs the digital resilience of financial firms. Both require you to control your risks, your access and your incidents. We put the technical measures in place and gather the evidence; the legal analysis remains that of your teams or advisers.

Do you replace our security team?

No. We work with it: it sets the rules, we turn them into code and automated checks, and we hand over the tools to keep them alive.

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.

Need help securing your cloud or your agents?