Naos brings your AI agents under control and turns every action — and every incident across your estate — 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.
The point is control over your AI agents — and proof that holds up afterwards. Detection feeds it, mapped to the techniques and frameworks your auditors already use. 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. Runs on its own, or alongside the SIEM you already have — Sentinel, Splunk, Elastic.
Inventory every Copilot, ChatGPT and Claude agent, set policy, and hold a full signed record of what each did — separating what you observed from what you enforced. For agents routed through the Naos gateway (MCP), a tool-call is blocked before it runs; for the SaaS agents, inline enforcement rolls out provider by provider.

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.
When a client's AI goes sideways, this is what covers you. Download a real signed record and open the verifier — it runs entirely in your browser and never talks to us. Change a single byte and it fails.
Illustrative sample, not a real customer. It proves integrity, authorship by this key, and an independent RFC 3161 timestamp. It does not yet prove the key's real-world identity — that comes with a published production key and a qualified timestamp.

Your clients want Copilot, ChatGPT and Claude. Say no and they find an MSP who won't gatekeep; say yes and you own the liability when it goes sideways. Naos lets you say yes safely — set the guardrails, keep a signed, verifiable record of what every agent did — under your own brand, as Managed AI. Multi-tenant, one console across your whole book.
One console, every client. Enforced at the database, not just the UI.
Your portal, your reports, your Managed AI offer. Naos stays under the hood.
Built for the mid-market you serve — not enterprise-only.
When a client's AI goes sideways, hand them — or their lawyer — a signed record that holds. Your defense, and a reason to renew.
From August 2026 the rules start to bite, and the direction is clear: regulators, insurers and auditors increasingly want to see how your AI is governed — 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: for agents routed through Naos, unwanted tool-calls are blocked before they run; for SaaS agents like Copilot, ChatGPT and Claude, Naos detects and records what they did. 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, and separates what you observed from what you enforced. Agents routed through the Naos gateway (MCP) are blocked inline before a tool runs; inline enforcement for the SaaS agents rolls out provider by provider.
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 agents routed through its gateway, Naos sits in the path of their tool calls, so a policy can allow, flag or block an action before it runs. For SaaS agents like Copilot, ChatGPT and Claude, it reads the providers' compliance logs to detect and evidence what they did, so you can act in the provider's console. Everything relevant becomes a verifiable record you can hand to an auditor.