Prompt Injection & Tool Abuse Checklist
Review AI workflows for prompt injection, unsafe tool calls, data leakage and missing human controls.
Open free toolAdd one row for each risk. Example categories: prompt injection, unsafe tool calls, sensitive data leakage, model drift, autonomy without review, insecure third-party actions, legal/compliance gaps.
| Risk | Category | Owner | Score | Priority | Control | Mitigation |
|---|
No risk items added yet.
Responsible AI development needs practical controls, not just policy statements. This tool gives teams a fast way to catalogue risks, score them consistently and export a register for further review.
It is particularly useful when people are experimenting with frontier models, AI agents or third-party action systems that can browse the web, call tools or touch operational data. It supports better internal discussions about where the biggest exposures sit and which mitigations should come first.
We support Google Ads, Facebook Ads, creative production, websites, analytics and practical digital strategy.
Email for a free quote ↗It multiplies likelihood by impact to create a simple 1–16 score. You can adapt the exported CSV later if your organisation uses a different framework.
No. It is a practical browser tool for initial review and working sessions. Formal governance, legal review and security review may still be needed.
Founders, marketers, product teams, consultants and anyone trialling AI agents, automations or customer-facing AI features.