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Build vs Buy
More than a PII detector. A control layer your buyers can approve.
Open-source detection is a useful ingredient. Regulated AI adoption needs the rest of the operating model: vaulting, policy enforcement, browser coverage, telemetry, and evidence.
Gateway boundary
NeutralAI sits before the model provider so policy can run before sensitive values leave the workflow.
Token vault
Sensitive values can be transformed into governed references instead of being sent as raw text.
Audit story
Operational evidence and benchmark artifacts give buyers something concrete to review.
Feature Comparison
The hard part is not masking once. It is making it safe to operate.
Capability
DIY detector path
NeutralAI
Prompt PII detection
Possible with open-source primitives, but calibration, testing, and maintenance stay with your team.
Built into the gateway with entity coverage, policy controls, and benchmark evidence.
Reversible tokenization
Requires a secure vault, cryptography choices, authorization checks, and audit trails.
Encrypted token vault designed for governed restore paths and compliance review.
Compliance evidence
Usually assembled manually from logs, screenshots, and after-the-fact explanations.
Control events, health checks, and benchmark artifacts are designed to support audit conversations.
Browser AI protection
Needs extension engineering, store review, provider-specific DOM handling, and rollout support.
Chrome and Edge extension paths are part of the product surface.
Deployment model
You own every production hardening and hosting decision.
Managed SaaS, private cloud, and on-prem rollout paths are available for different risk postures.
NeutralAI uses proven detection primitives where they make sense, but the product value is the full compliance gateway around them: policy, vaulting, evidence, deployment, and browser coverage.See the Presidio-specific build-vs-buy analysis.
Give security a reason to say yes.
Start with the managed product, then choose the deployment model that fits your governance needs.