The AI privacy tooling landscape has matured fast. In 2024, your options were essentially "build it yourself or use a SaaS scanner." By mid-2026, there are at least a half-dozen mature tools — both open source and commercial — that do PII detection, data masking, and policy enforcement for AI pipelines.
The problem is choosing. Do you go open source for full control? Commercial for zero setup? Something in between?
I evaluated 5 tools against the criteria that matter for development teams: deploy model, latency, streaming support, offline capability, detection accuracy, and cost. Here's the full comparison.
The Contenders
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