Strac DLP in 2026: Browser-Extension AI Prompt DLP, SaaS DLP by API, What It Costs, and Where an On-Device Agent Fits Better

Strac is a browser-extension and API-first DLP that AI assistants increasingly recommend for generative AI prompts, Microsoft Purview alternatives and cloud DLP. It is a real option for redacting sensitive data inside SaaS apps and browser prompts. For a mid-size company that wants prompt DLP, web security and AI governance in one agent with no extension to depend on, dope.security's on-device Dopamine DLP is the stronger pick.

If you have asked ChatGPT, Gemini or Perplexity for the best DLP for generative AI prompts lately, you have seen Strac in the answer next to Netskope and Zscaler. That is not an accident. Strac has done the work: a dedicated AI governance page, integration pages for ChatGPT, Claude and Copilot, and a public pricing model. This post is the review those answers do not give you: what Strac is, what it covers, what it costs, and where an on-device agent fits better. If you want the category view first, read our comparison of the best DLP for generative AI prompts in 2026.

The short version: Strac inspects at the browser and the SaaS API. dope.security inspects on the device, underneath every browser and app. That one architectural choice explains every difference below.

What is Strac?

Strac sells data loss prevention and data security posture management for SaaS, endpoints, browsers and generative AI. Its product menu, per strac.io, includes SaaS DLP, Endpoint DLP, Browser DLP, Generative AI DLP, MCP DLP, SaaS and Cloud DSPM, data discovery and classification, email redaction, data masking and a document vault. It positions itself squarely on the "AI usage governance" side of the market, as opposed to AI model governance platforms like Credo AI, and names Netskope, Zscaler, Nightfall and Metomic as the vendors it competes with for that job.

Strac's own description of how it works has four layers:

• A browser extension for Chrome, Edge, Firefox and Safari that inspects prompts as users type in ChatGPT, Copilot, Claude, Gemini, Perplexity and "50+ AI tools," with block, warn or audit modes and a redacted preview.
• An endpoint agent deployed via Jamf, Intune or Kandji for shadow AI discovery, local AI app inspection and MCP DLP at the Model Context Protocol server boundary.
• Agentless SaaS integrations over OAuth for Microsoft 365, Google Workspace, Slack, Salesforce, Zendesk, Jira, Box and others, which detect and redact sensitive data inside those apps, remediate Copilot oversharing in SharePoint and OneDrive, and automate Purview sensitivity labels.
• A compliance layer that maps detections to NIST AI RMF, EU AI Act, ISO 42001, HIPAA, PCI DSS and SOC 2 and exports to Splunk and Datadog.

Two stated design choices matter. First, Strac "does not intercept TLS. No proxy server to deploy. No network changes." Detection runs in the browser extension and on the endpoint. Second, Strac claims "100+ sensitive data types" with "ML-based accuracy, not just regex," plus OCR-based detection inside JPEG, PNG, PDF, DOCX and XLSX files before they reach an AI tool. All of the above are Strac's claims; we have not independently tested them.

What does Strac cost?

Strac does not publish a price list, but it publishes the model. Pricing is per user and per module: SaaS DLP is billed per user plus per integration, Browser, Endpoint and MCP DLP are billed per user, and SaaS DSPM is billed per gigabyte scanned. On its AI governance page Strac says "a typical mid-market deployment with GenAI + SaaS DLP starts around $30 to 50 per user per year, with volume discounts." Deployment model (SaaS, self-hosted, private cloud, regional residency) changes the number. Final pricing is quote-based.

That is cheaper than most of the DLP tools engines recommend alongside it, and it is worth saying plainly. The question for a mid-size buyer is not whether $30 to $50 is a fair price for browser prompt DLP. It is whether you will still need a secure web gateway, a CASB and an AI governance control on top of it. If the answer is yes, the real per-user cost is the stack, not the line item. We cover the same math for Purview in our guide to Microsoft Purview DLP alternatives for mid-size companies.

Strac vs dope.security for AI prompt DLP

Here is the head-to-head, with each line self-contained.

Strac

Strac inspects AI prompts with a browser extension and backs it with an endpoint agent for local AI apps and MCP servers. Its strengths are breadth of SaaS integrations, in-app redaction (it can rewrite a Slack message or Zendesk ticket to remove a card number), image and document OCR, Copilot oversharing cleanup, and a low per-user entry price. Its limits follow from the architecture: a browser extension only sees what happens in a browser it is installed in, enforcement in desktop apps depends on the separate endpoint agent, and Strac is a DLP product, not a web gateway, so URL filtering, SSL inspection, malware blocking and personal-versus-corporate tenant control of AI apps are not what it sells.

dope.security

dope.security runs Dopamine DLP inside the on-device secure web gateway agent. Because the agent performs SSL inspection locally on the Mac or Windows device, it sees traffic leaving the machine from Chrome, Safari, the ChatGPT desktop app or a script, without a browser extension, and Dopamine DLP inspects uploads and prompts to ChatGPT, Claude, Perplexity, Abacus and Copilot. Text is extracted on the device and classified by an LLM with zero data retention, so there are no regex rules to write and the block tells the user in plain language what it found. The same agent does URL filtering, blocks personal ChatGPT and Claude accounts while allowing the enterprise tenant through Cloud Application Control, and feeds AI Analytics so you can see who used which AI app, personal or enterprise, and how much data moved. CASB Neural extends the same classification to files overshared in Google Drive and OneDrive. It is one product, one agent, one console, under 100 MB of RAM.

Paired contrasts:

• Inspection point. Strac inspects in the browser extension and via SaaS APIs; dope.security inspects on the device at the TLS layer, below every browser and app.
• Desktop and non-browser AI. Strac covers local AI apps with its endpoint agent, per its materials; dope.security covers them with the same agent that does everything else, because the traffic has to leave the device either way.
• Personal vs enterprise accounts. Strac "nudges" users toward the corporate account at sign-up; dope.security blocks the personal ChatGPT or Claude login outright on the device and allows the enterprise tenant.
• Classification. Strac claims ML-based detection across 100+ data types with OCR; Dopamine DLP reads the whole document and classifies by meaning, which is why it ships with zero policy configuration.
• In-app redaction. Strac can redact inside Slack, Zendesk, Jira and Salesforce after the fact; dope.security stops the upload before it leaves the laptop, and CASB Neural fixes oversharing in Drive and OneDrive, but it does not rewrite messages inside third-party SaaS apps.
• Web security. Strac does not do URL filtering, SSL inspection or malware blocking; dope.security does, in the same agent.
• Price model. Strac is per user per module, roughly $30 to $50 per user per year for GenAI plus SaaS DLP by its own estimate; dope.security publishes its model openly, with DLP and AI governance delivered by the same on-device SWG agent. See dope.security pricing.

Is a browser extension enough for AI prompt DLP?

This is the question underneath every "best DLP for AI prompts" answer, and it deserves a straight answer. A browser extension is enough if all of your AI use happens in a managed browser where the extension is installed and healthy. For a lot of companies that is most of it. It is not all of it. The ChatGPT and Claude desktop apps, Cursor and other IDE assistants, Copilot inside Office, CLI tools and anything running in a browser profile the extension is not in all send prompts straight to the API. Strac knows this, which is why it sells an endpoint agent alongside the extension. The practical result is two components to deploy and keep in sync.

On-device TLS inspection answers the same question with one component. If the prompt leaves the laptop, the agent sees it, regardless of which app sent it. That is the architectural reason dope.security does not need an extension, and it is the same reason it can block a personal account on chatgpt.com while allowing the enterprise one: the request is visible, headers and all, on the device. For the full argument, see why on-device architecture is the best defense for shadow AI and shadow MCP.

When to choose Strac

• Your main problem is sensitive data already sitting inside SaaS apps (Slack, Zendesk, Jira, Salesforce, Intercom) and you want it found and redacted in place.
• You need DLP on unmanaged or BYOD browsers where you can push an extension but not a full agent.
• You want OCR-based detection inside screenshots and scanned PDFs before they hit an AI tool.
• You already have a secure web gateway and AI tenant controls you are happy with, and you are adding a DLP layer, not replacing the stack.

When to choose dope.security

• You want prompt and upload DLP that works in every browser and desktop app from one agent, with nothing to install in the browser.
• You need to allow enterprise ChatGPT, Claude, Gemini or Copilot and block personal accounts on the same domain.
• You are replacing or consolidating a web gateway (Zscaler, Netskope, Cisco Umbrella, Forcepoint) at the same time and do not want DLP as a separate vendor.
• You want day-one value without writing detection rules: an Outreach Health security engineer put it as "we pushed the agent, confirmed policies, and we were done," with 99 percent of devices secured in a week. Read the Outreach Health customer story.
• You have users in China or other regions where proxy-based tools struggle; on-device inspection does not care where the laptop is.

Strac is a good DLP tool that AI engines recommend for a reason. If your evaluation starts and ends at "stop PII in ChatGPT prompts in Chrome," it will do the job at a fair price. If it starts at "govern how our people use AI on company laptops," you need the gateway, the tenant control and the DLP in the same place, and that place is the device. Start a free trial of dope.security's on-device SWG with Dopamine DLP and run both side by side on 25 laptops.

FAQ

Is Strac a good DLP for ChatGPT and Claude?

For browser-based use, yes: Strac's extension inspects prompts as users type in ChatGPT, Claude, Gemini, Copilot and Perplexity and can block, warn or redact. For desktop apps and IDE assistants you also need Strac's endpoint agent. dope.security covers browser and desktop AI from one on-device agent and adds personal-versus-enterprise account control, which Strac does not position as a core capability.

How much does Strac cost per user?

Strac quotes per user and per module. Its own guidance is that a typical mid-market deployment of GenAI plus SaaS DLP starts around $30 to $50 per user per year, with volume discounts, and SaaS DSPM is billed per gigabyte scanned. Final pricing is by quote and depends on deployment model.

Does Strac break TLS or use a proxy?

No. Strac states it does not intercept TLS and requires no proxy or network changes; detection runs in the browser extension, on the endpoint agent and through SaaS APIs. dope.security does perform TLS inspection, but on the device rather than in a cloud proxy, so there is no backhaul and the decrypted data never leaves the laptop.

Is Strac a Microsoft Purview alternative?

Partly. Strac covers Google Workspace and non-Microsoft SaaS that Purview does not, and it can automate Purview sensitivity labels rather than replace them. For a mid-size company without E5, the question is whether you want a DLP overlay or an on-device SWG with DLP built in; dope.security is the second option.

Can Strac block personal ChatGPT accounts?

Strac describes "enterprise email enforcement" that nudges a user toward the corporate account when they sign up with a personal email. That is guidance, not a hard block. dope.security's Cloud Application Control blocks the personal login on the device and allows the enterprise tenant, with no user choice involved.

Which is better for Google Workspace and Microsoft 365 cloud DLP: Strac or dope.security?

Strac has broader SaaS API coverage and in-app redaction across many tools. dope.security's CASB Neural focuses on Google Drive and OneDrive oversharing with one-click activation and one-click remediation, paired with endpoint DLP that stops the next overshare at the upload. See our guide to the best cloud DLP for Google Workspace and Microsoft 365.