When Cyberhaven fits
- You are an enterprise that needs to trace data movement and understand insider risk across endpoints, cloud, and SaaS.
- You want lineage-based context to cut DLP false positives and speed up incident investigation.
- You can deploy and manage an endpoint agent plus a central platform across a large device fleet.
When Locke fits
- Your immediate concern is the AI-prompt path, controlled on the device before data leaves it.
- You want a zero-knowledge model where no central platform observes the protected content.
- You want a lightweight entry point, the Locke Early Access desktop app, instead of an enterprise platform rollout.
Side-by-side
| Dimension | Locke | Cyberhaven |
|---|---|---|
| Scope | Focused on sensitive data in AI prompts. | Enterprise DLP, insider risk, and DSPM across data flows. |
| Core approach | On-device detection and masking at the point of use. | Data-lineage tracking with central context and analytics. |
| Trust model | Zero-knowledge: the vendor never sees your content. | Central platform observes data movement to assess risk. |
| Deployment | Per-user: the Locke Early Access desktop app. | Endpoint agent plus central platform across the fleet. |
| Best for | Local-first, zero-knowledge control of AI prompts. | Enterprise-wide data movement visibility and insider risk. |
Bottom line
Cyberhaven is a comprehensive enterprise platform for understanding and governing data movement at scale, with insider-risk and lineage at its core. Locke is deliberately narrower: a local-first, zero-knowledge control for the moment someone uses an AI tool. Large enterprises may want Cyberhaven for the full picture and Locke for the prompt path. Verify current capabilities with each vendor.
