COMPARISON
Locke vs Strac
Strac is a data discovery, classification, and DLP platform (with DSPM capabilities) that connects to a wide range of SaaS apps, cloud services, GenAI tools, and endpoints, and can automatically detect and remediate sensitive data — alerting, masking, redacting, or blocking it. It's largely integration-driven: you connect the services you want governed, and Strac applies policy across them. The contrast with Locke is centralisation versus locality: Strac's value comes from a central platform with visibility across connected systems; Locke keeps detection on the device and out of any vendor's view. (Integration coverage changes over time — verify current specifics with Strac directly.)
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 Canary and adopt the Locke desktop app 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 | Free OSS Canary now; Locke desktop app coming soon. | 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. Want one platform spanning many systems? Strac is worth evaluating. Want a local-first, zero-knowledge layer for AI use specifically? That's Locke. Check each vendor for current capabilities.
