Runtime control for enterprise AI.
In plain English: it keeps company AI, copilots and agents inside your rules — checking what goes in, what comes out and what they do.
norse3 applies your policies to employee AI, copilots, enterprise assistants and agents — inspecting inputs, outputs and the actions they attempt, and intervening before anything is released or executed.
Copilot agent
Agent requested: delete_customer_records()
AI is now inside your workforce and your systems.
Employees paste sensitive data into chatbots, copilots draft on your behalf and agents take actions. Native model guardrails don't enforce your policy, across your estate, with evidence.
Inspect → policy → intervene → evidence.
AI use happens
An employee uses a copilot, or an agent attempts a tool action.
Inspect
norse3 inspects the input, the output and the intended action.
Policy
Your organisation-defined policy is applied in real time.
Intervene
Allow, warn, redact, block or escalate before anything is released or executed.
Evidence
A reviewable record is retained for oversight.
What Enterprise AI controls.
Stop sensitive uploads
Prevent employees entering passports, IDs and confidential documents into AI tools.
Inspect AI outputs
Check responses before they reach a person or a downstream system.
Control agent actions
Constrain what copilots and agents may do with an action allow-list.
Organisation-defined policy
Apply your own rules by role, system and sensitivity.
Across your AI estate
Copilots, enterprise assistants and multi-vendor models.
Human escalation
Route material cases to named reviewers who decide.
One control layer across enterprise AI.
Employee generative AI
Govern how staff use ChatGPT, Claude, Copilot and other assistants — controlling what goes in and what comes back.
Enterprise AI will be tested by more than ordinary users.
Run a synthetic attack and watch it move through detection, policy, intervention, incident and review. Demonstrations only.
Synthetic examples only. Nothing here enables a real attack.
Prompt injection
SEVERITY HIGHDeploy according to your environment.
An independent control layer between your users and the approved AI services you run.
Private cloud
Deployed within your own cloud tenancy for tighter data-residency control.
Runs inside your tenancy so data residency and network boundaries stay under your control.
Specific security classifications, network architecture, accreditation requirements and data-handling controls require technical assessment. Deployment requirements differ according to the sensitivity of the environment.
Built for organisations where evidence matters.
Showing only what is verified today.
ISO 9001
Quality management — certified.
ISO 42001
AI management system — certified.
SOC 2
Roadmap / readiness in progress — not yet certified.
Policy controls
Configurable, versioned organisation-defined policies.
Configurable access
Role-based access to the console and records.
Configurable retention
Retention windows configured to your policy.
Common questions.
Does it replace our AI model?
No. norse3 is an independent control layer that sits alongside your models and systems. The model stays separate.
Can it stop an agent taking an action?
Where configured, norse3 can inspect and block an out-of-policy action before it executes, and escalate to an owner.
How is it deployed?
Hosted, private cloud or customer-controlled environments, chosen against your sensitivity and residency requirements.
How is this different from native guardrails?
Native guardrails optimise for the model's own safety. norse3 applies your firm-specific policy, across a multi-vendor estate, with reviewable evidence.