Catalog: browse tools, review risk, set policy
Hundreds of known AI tools, each with a risk assessment. Filter, open any tool, and set policy in bulk.
The catalogue holds every known AI tool: hundreds of them, each with a risk assessment already done. It is where you decide what your organisation allows, and where you steer people towards safer options.
Browsing and filtering
Each row shows the tool, its sector, the vendor's country, its activity in your organisation, a risk band, and its current policy. You can:
- use the quick filters: Shadow AI for unsanctioned tools that are actually being used, With activity, or All
- filter by risk band, sector, vendor country, and other properties
- sort by any column, for example by risk or by activity
- add your own internally approved tools, which appear alongside the global catalogue
Newly curated tools are grouped at the top and flagged, so you notice them without searching. The catalogue is updated weekly: BeeSensible scans the web for new AI tools, assesses them, and adds them with a suggested policy, so keeping up with new tools is no longer your job.
Setting policy in bulk
Select several tools and set a status in one go: Approved, Approved with conditions, Under review, or Not allowed. This is useful when a wave of new tools appears at once after a launch or a news cycle.
Reviewing a tool
Open any tool and you get a full detail view, built to answer one question quickly: is this tool safe enough for our people, and if not, where should they go instead?
Scored across six dimensions (higher is riskier)
Key facts
Incidents
Safer alternatives
The risk breakdown
The tool is scored across several risk dimensions, each rated so you can see where the concern is:
- Data governance: does it train on your data, and how is data retained?
- Jurisdiction: where does the vendor sit, and can data be reached under foreign law?
- Compliance: how does it line up with the EU AI Act and GDPR expectations?
- Incidents: has it had public data or security incidents?
- Integration: how deeply can it reach into other apps and accounts?
- Vendor trust: how transparent is the ownership and the model?
Together these roll up into a risk band, from Low to Critical.
The facts and the incidents
Alongside the score you get the key facts (trains on your data, vendor country, data residency, EU AI Act risk) and the sourced incidents behind it, so the assessment is not a black box. You can see why a tool is rated the way it is.
Safer alternatives to recommend
Every tool lists safer alternatives. You pin the one your organisation prefers, and it shows first, both here and in the overlay your employees see when they open a tool that is not allowed. This is how you steer people towards an approved option instead of simply blocking them.
Usage in your organisation
If the tool has activity, a usage tab shows how often and when it is used, so you can prioritise the tools that carry the most real exposure.
Guiding people, not blocking them
Policy is a nudge, not a wall. Open a tool that is Not allowed and the extension shows a non-blocking overlay with your pinned alternatives; the user can still hold to continue. Tools set to Under review show a calm notice to keep to public information. Approved tools never interrupt.
Tips
- Start with the tools that have the most activity. That is where your data is most exposed.
- Use Under review as a temporary state while you gather more information.
- Revisit Not allowed tools periodically. A blocked tool may become compliant later, or a better alternative may appear.