A lot of privacy talk treats profiling as if it begins only when a company shows a personalized ad. In practice, profiling begins much earlier, when a system becomes confident that the same person is back again. If recognition stays easy, the profile can keep growing from ordinary browsing, comparison behavior, return visits, and quiet interaction patterns even when some visible ad-tech components are blocked.
That is why anti-profiling defense has to care about recognition, not just downstream targeting. The first question is whether the site can keep a stable memory of the browser. The second is what it does with that memory. If the answer to the first question is still yes, then the user may be less interrupted by ads while remaining fully legible to scoring, ranking, or pressure systems behind the page.
The 2023 survey paper Characterizing Browser Fingerprinting and its Mitigations is useful because it maps the modern fingerprinting problem in technical but practical terms. The lesson is not that one magic identifier follows everyone everywhere. It is that multiple browser and device signals can still be combined into a durable enough signature to preserve continuity across visits, which is exactly what an anti-profiling product should try to weaken.
EFF's Cover Your Tracks makes that lesson concrete for non-specialists. The project shows users that a browser can remain distinctive even when they have taken some basic privacy steps. That is a powerful corrective to the myth that deleting cookies equals disappearing. A browser can stop one tracking mechanism while still leaking enough entropy to stay recognizable in the next session.
Mozilla's rollout of Total Cookie Protection points in the same direction from a product perspective. The goal is not only to reduce creepy ads. It is to stop cross-site state from being casually reused everywhere. That philosophy matters because anti-profiling defense should shrink the pathways that let one observation bleed into the next observation until a full profile becomes easy to maintain.
So the real standard for anti-profiling defense is not “did we block a few obvious trackers?” It is “did we make the person materially harder to recognize, connect, and score over time?” Cloak fits that standard when it combines tracker blocking with fingerprint reduction and visible warnings about high-stakes moments. The product becomes much more honest when it defends against profile continuity itself instead of only reacting after the profile is already useful to the platform.