When Strac fits
- You want one platform to discover and remediate sensitive data across many SaaS apps, cloud stores, and endpoints.
- You need DSPM-style posture management and centralised remediation actions, not only AI-prompt protection.
- You prefer an integration-based model where the platform connects to and governs your existing systems.
When Locke fits
- Your priority is the AI-prompt path specifically, controlled on the device before anything is sent.
- You want a zero-knowledge model where no central platform sees the content being protected.
- You want to start free with the Locke desktop app and adopt it per user, without connecting a platform to your systems.
Side-by-side
| Dimension | Locke | Strac |
|---|---|---|
| Architecture | On-device control, no central platform required. | Central platform connected to SaaS, cloud, and endpoints. |
| Scope | Sensitive data in AI prompts at the point of use. | Broad discovery, classification, and DLP across systems. |
| Trust model | Zero-knowledge: the vendor never sees your content. | Platform processes connected data to detect and remediate. |
| Entry point | Locke Free costs nothing (Early Access); Teams starts at $14.99 per seat a month. | Commercial platform. Contact vendor for current pricing. |
| Best for | Local-first, zero-knowledge control of AI prompts. | Centralised data discovery and DLP across an estate. |
Bottom line
Strac is a broad, integration-driven data security platform that covers a lot of ground across your connected systems. Locke is narrower and local by design: it governs the AI-prompt moment on the device, with nothing for a vendor to see. For one platform spanning many systems, Strac is worth evaluating. For a local-first, zero-knowledge layer for AI use, choose Locke. Check each vendor for current capabilities.
