---
title: "Locke vs Strac"
description: "Strac is an integration-driven data discovery and DLP platform across SaaS, cloud, and endpoints. Locke is a local-first, zero-knowledge layer for AI prompts. How they compare — verify specifics with each vendor."
url: "https://sonomos.ai/compare/sonomos-vs-strac/"
source: "https://sonomos.ai/compare/sonomos-vs-strac/"
---

# Locke vs Strac

Strac is a data discovery, classification and DLP platform (with DSPM capabilities). It connects to a wide range of SaaS apps, cloud services, GenAI tools and endpoints, and can automatically detect and remediate sensitive data by alerting, masking, redacting or blocking it. It's largely integration-driven: you connect the services you want governed, and Strac applies policy across them. 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 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.

[Download Locke](https://sonomos.ai/downloads/)[See the Locke demo](https://sonomos.ai/locke/#demo)[See pricing](https://sonomos.ai/pricing/)[Talk to the team](https://sonomos.ai/contact/)

## Related comparisons

- [Locke vs Nightfall AI](https://sonomos.ai/compare/sonomos-vs-nightfall-ai/)
- [Locke vs Private AI](https://sonomos.ai/compare/sonomos-vs-private-ai/)
- [Locke vs Cyberhaven](https://sonomos.ai/compare/sonomos-vs-cyberhaven/)

[View all comparisons](https://sonomos.ai/compare/)

## Further reading

- [The Best AI Privacy Tools for ChatGPT, Claude, and Gemini (2026)](https://sonomos.ai/blog/best-ai-privacy-tools-chatgpt-claude-gemini-2026/)
- [AI Data Leakage: 7 Ways Sensitive Information Escapes to LLMs (and How to Stop It)](https://sonomos.ai/blog/ai-data-leakage-7-ways-sensitive-info-escapes-to-llms/)
- [What Is PII Redaction? A Plain-English Guide for AI Users](https://sonomos.ai/blog/what-is-pii-redaction-ai/)