Describe
Record the cause, uncertain event, consequence, affected people or objectives, source, and operating context.
AI Risk Register Generator
Turn AI risk findings into an owned, prioritized, and reviewable action register. Track inherent exposure, controls, treatment, residual risk, deadlines, evidence, and decisions—without sending data to a server.
Register context
Auto-saved locallyDefine the register
Connect each risk to a project, accountable owner, review cadence, and a stated escalation threshold.
Portfolio view
Risk dashboard
Use the dashboard to identify exposure that is above tolerance, overdue, unowned, or still missing treatment evidence.
Total risks0All register entries
Above threshold0Residual score needs escalation
Overdue0Open items past target date
Unowned0Missing accountable owner
Average residual0Mean score out of 25
Exposure reduction0%Inherent to residual score
Risks by category
Residual risk matrix
Risk detail record
New recordAdd an AI risk
Write a specific risk scenario, assign an owner, separate inherent from residual exposure, and document what happens next.
Living register
Prioritize and monitor risks
0 risks shown
| Risk | Owner & status | Inherent | Response | Residual | Target & review | Actions |
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No risks in the current view
Add a risk, load the examples, or reset the filters to begin building an accountable register.
Transparent methodology
From identification to monitored response
A useful register is not a static list. It connects a specific risk scenario to ownership, prioritization, response, evidence, monitoring, review, and an accountable decision.
Prioritize
Rate severity and likelihood before controls. Escalate critical rights, safety, privacy, security, or legal gates independently.
Respond
Choose mitigation, avoidance, transfer or sharing, or acceptance. Assign resources, an owner, deadline, and success evidence.
Monitor
Re-rate residual exposure, track treatment, monitor thresholds, review changes, record decisions, and retain evidence.
Scoring: severity (1–5) × likelihood (1–5) creates a 1–25 prioritization score. This simple matrix should be calibrated to organizational risk criteria. It is not a probability estimate, compliance result, or substitute for domain-specific assessment.
Need the complete step-by-step process?
Use the practical guide to define register governance, write specific risk scenarios, rate inherent exposure, evaluate controls, select treatment, assign owners and dates, decide on residual risk, and establish KRIs and review triggers.
Read the AI Risk Register GuideImportant: this free tool is general educational material. It does not establish compliance, satisfy a legally required risk process, certify safety, replace specialist review, or authorize purchase or deployment. Adapt categories, thresholds, approval rights, evidence, retention, and response requirements to your organization and jurisdiction.
FAQ
AI risk register questions
An AI risk register is a living record of identified AI risks, their causes and consequences, owners, inherent and residual ratings, controls, response plans, deadlines, evidence, status, and review decisions.
The tool multiplies a 1–5 severity rating by a 1–5 likelihood rating to produce a 1–25 prioritization score. Inherent risk is rated before relying on controls; residual risk is rated after current controls and planned treatment are considered.
No. It is a planning and documentation aid, not a compliance certificate, legal opinion, audit, safety determination, or authorization to deploy an AI system.
Register data is stored in the current browser using local storage. It is not sent to Zynovix AI. Export backups regularly and avoid entering sensitive or regulated information.
Update it when new risks or evidence appear, controls change, actions are completed, incidents occur, deadlines pass, monitoring thresholds are breached, or the AI system, vendor, data, purpose, users, authority, or operating context changes.