Several companies I've worked with use tools such as PostHog and FullStory to record real user interactions for debugging. I understand why session replay is useful, but it also means user activity and potentially private information are being sent to a third-party service. That could include financial details, account information, or other sensitive data rendered in the application. These tools offer masking and scrubbing, but the risk seems much greater when replay data is also analyzed by AI. Do most teams genuinely understand what is being collected and where it goes, and are masking settings reliable enough to prevent sensitive data from leaking?
5 Answers
A lot of teams treat replay tools like ordinary analytics, so they focus on the debugging benefit and assume the vendor’s compliance statement covers the risk. In regulated environments, someone should first classify what can appear in a session, confirm retention and deletion policies, review third-party and AI processing, and test the actual replay payload with realistic data. A privacy notice or cookie banner doesn’t make an unsafe implementation safe.
Input fields are usually masked by default, but that only solves the obvious part. Session replay can also capture text rendered in the DOM, such as account balances, names, order history, or wallet addresses. URLs are another serious risk because reset links, invite tokens, and other credentials can appear there. Network requests may expose even more data if request or response bodies are recorded.
Users generally don’t realize this is happening. Many assume a cookie banner refers mainly to advertising cookies, while session replay can show nearly every click and interaction. The AI feature doesn’t create an entirely new concern so much as make the existing data-sharing problem more visible: sensitive recordings are still being sent to another processor, now potentially used to generate summaries or insights.
There is a legitimate benefit: real users effectively become a large QA group, and replays can reveal bugs that internal testing misses. But that benefit doesn’t justify recording everything. Companies should use least privilege, limit access, keep short retention periods, avoid sending sensitive network data, and consider self-hosting or disabling replay on pages containing financial, medical, authentication, or other confidential information.
The safest setup is to mask everything by default and explicitly allow only a small set of safe elements to be recorded. Blocklists tend to fail because new components get added and nobody remembers to update the rules. If the goal is reproducing bugs, event sequences and error details are often enough; you don’t necessarily need a full visual recording of someone’s account.
That distinction is what worries me too. The feature can be valuable, but it seems like teams often enable broad collection first and only investigate what was captured after something leaks.