Hotjar PII
You manage hotjar pii by turning on client-side data suppression rules before tracking starts. These rules replace keystrokes and page text with asterisks inside the user's browser. Teams often set up broad suppression rules and grant full analytics roles to staff. When roles are too broad, staff can still read sensitive records in backend databases. Browser suppression only hides text on the screen during a front-end visit. How hotjar pii suppression works in the browser The tracking script
PII in Logs Prevention: the complete guide
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You manage hotjar pii by turning on client-side data suppression rules before tracking starts. These rules replace keystrokes and page text with asterisks inside the user's browser. Teams often set up broad suppression rules and grant full analytics roles to staff. When roles are too broad, staff can still read sensitive records in backend databases. Browser suppression only hides text on the screen during a front-end visit.
How hotjar pii suppression works in the browser
The tracking script runs inside the visitor's web browser when a page loads. It watches clicks, mouse moves, and page scrolling to build heatmaps for the team. By default, the script suppresses numbers and email patterns before sending data out. Teams can also mark specific page sections in their web app as private. When the script sees a marked section, it replaces the characters with placeholder stars.
This process happens on the user's device before any network call takes place. The analytics servers receive the masked text and store it for product teams. Product managers log in with their account role to review the visual heatmaps. If a page changes, developers must update the front-end markup right away. One missed tag in a form can send emails or phone numbers to storage.
What browser rules solve and what they leave open
Browser suppression stops visual analytics tools from saving card numbers or national IDs. It keeps front-end tracking clean when marketing and design teams check user flows. Account roles also decide who can log in and view those analytics dashboards. This setup solves the basic risk of capturing raw text from web forms.
Still, front-end suppression does not protect the actual data inside your backend systems. Once a user submits a form, the app writes raw records to the database. Engineers, support staff, and AI tools query those databases during daily work. Standard account setup only decides who logs in to a database or server. It does not check what individual queries or commands do while they run. When an engineer runs a broad query, the database returns unmasked emails and phone numbers. Static roles cannot rewrite sensitive fields in query results or block risky commands.
PII in Logs Prevention: architecture patterns and best practices
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Securing sensitive data beyond front-end analytics
To protect customer records, teams must look past browser scripts and static login roles. Every support query, script run, and database session needs live inspection in flight. Instead of handing out broad database keys, teams should verify each action by identity. Data masking should rewrite matched fields like emails and card numbers in query results. This approach keeps sensitive values safe across both daily fixing and analytics work.
Add runtime guardrails and masking beside your databases and APIs
Login rules, role grants, and CI checks govern who connects to your stack. Yet any allowed script, engineer, or AI agent still runs commands with the full scope of its role. For workloads on Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes, SSH, or internal HTTP services, hoop.dev sits beside the service as an open-source proxy, a sidecar for your database or API.
Before a query runs, hoop.dev guardrails check the statement against your rules. An AI Analyzer you configure can score intent or hold risky calls for human review. Next, hoop.dev data masking rewrites sensitive fields in responses, and each verdict is logged per listener. Explore the MIT-licensed project on GitHub.
Frequently asked questions
Does browser suppression hide data in our main database?
No, browser suppression only alters what the tracking script sends to analytics servers. Your web app still sends raw form entries straight to your production database.
What happens if a developer changes a page layout?
If a layout change removes a privacy tag, the script may capture raw text. Teams must test page updates to ensure suppression rules still match new elements.
How can we mask emails and card numbers in database queries?
You need runtime controls that inspect database results before they reach the user. Live masking rewrites matched fields like emails, phone numbers, and card numbers in flight.