Naos watches your estate and your AI agents, catches what matters, and turns every incident into evidence you can hand to a regulator, an insurer, or an auditor — not one more alert in the pile.
Most tools tell you what happened. Naos lets you prove it — without asking anyone to take your word for it.
Concrete capabilities, each mapped to techniques and frameworks your auditors already use — and honest about what it does and doesn't do.
In plain terms — Naos watches your systems and your AI agents, flags the attacks that matter, and produces a record of what happened that anyone can verify. Deploys as SaaS or self-hosted; ingests logs, endpoints, network and AI-agent telemetry via connectors.
Real-time correlation across logs, endpoints and network. Every rule is tied to a known adversary technique, so a detection means something — and coverage is measured per technique, not asserted.
Inventory every Copilot, ChatGPT and Claude agent. Set policy, keep a reversible kill-switch for rogue behaviour, and hold a full record of what each agent did — separating what you observed from what you enforced.

A breach review. An insurance claim. A regulator saying “show me.” Most tools give you logs and hope. Naos gives you a record the other side can verify for themselves.

Built MSP-first for European SMBs — we don't chase enterprise direct, we arm the channel. Multi-tenant, white-label, one console across your whole book. When a client incident turns into a dispute, the signed evidence protects you too.
One console, every client. Enforced at the database, not just the UI.
Your portal, your reports. Naos stays under the hood.
Built for the mid-market you serve — not enterprise-only.
Hand a client — or their lawyer — evidence that holds. A reason to renew.
From August 2026, organisations must show — not assert — how their AI systems are governed and controlled. It reaches anyone building or deploying AI in the EU, and it wants records — not reassurances. Naos was built for exactly that.
A short, technical walkthrough on your own data — no slideware. Bring your hardest “show me it actually works” question.
Built in Europe by a security engineer, MSP-first — early, and honest about it. Design partners & investors: reach the founder directly →
What Naos is, who it's for, and how it fits the AI era — no jargon, no hedging.
Naos is a security control and proof plane for the AI era. It watches what your infrastructure and your AI agents do, catches what matters, can stop risky actions, and turns events into a verifiable record — so you can show, not just claim, that your systems are under control.
It's a single layer across your security operations and your AI-agent activity. Control means you set policy and can stop unwanted actions in real time. Proof means the relevant events are recorded in a form you can hand to a regulator, an auditor or an insurer. Naos brings SIEM detection, AI-agent governance and evidence together.
Naos is built MSP-first, for European SMBs. Managed service providers run it multi-tenant, under their own brand, across their whole client book. It also fits security teams that need to govern AI agents and demonstrate control.
The EU AI Act pushes organisations to show — not merely assert — how their AI systems are governed. Naos records what your AI agents did, whether they were allowed to, and keeps a verifiable trail that supports accountability. Naos is a tooling layer; it doesn't replace your own legal compliance assessment.
Both. On infrastructure, it's detection and response across logs, endpoints and network — a SIEM. On AI, it inventories your agents such as Copilot, ChatGPT and Claude, applies policy, keeps a reversible kill-switch for rogue behaviour, and separates what you observed from what you enforced.
Naos runs as SaaS or self-hosted, with database-level multi-tenant isolation for MSP use. It takes in your logs, endpoints and network — and your AI-agent activity — through connectors for cloud, identity and SIEM sources and the major AI providers. For AI agents, it sits in the path of their tool calls, so a policy can allow, flag or block an action before it runs, with a reversible kill-switch to stop an agent. Everything relevant becomes a verifiable record you can hand to an auditor.