Nonym

Nonym is an AI privacy proxy and broader privacy-management platform for teams handling personal data in applications. It suits security and compliance groups, engineers, and CTOs or founders who want to keep existing AI integrations while reducing PII exposure. The key decision is whether its tokenising proxy and governance tools justify request-based Cloud pricing or a larger self-hosted commitment.

Overview

Nonym sits between an application and external SaaS or AI providers. Its AI Proxy detects personal information, replaces it with structured tokens before a request leaves the app, and restores the original values in the response. That design can limit what a provider receives without forcing the application to work with anonymised output.

Beyond proxying, Nonym provides data inventory, automated data discovery, data-subject access-request management, retention management, and regulatory workflows. Its stated framework coverage includes GDPR, HIPAA, the EU AI Act, SOC 2, PIPEDA, and PCI DSS. Those functions make it more suitable for an organisation building a privacy programme than for a developer seeking only a lightweight prompt scrubber; framework coverage does not by itself constitute certification.

Key features

PII detection and reversible anonymisation

Named entity recognition looks for emails, names, Social Security numbers, credit-card numbers, phone numbers, API keys, and addresses. Structured token replacement protects those values in the outbound prompt, while restoration preserves the context returned to the application. This is a practical fit for AI features that must process sensitive records, although teams remain responsible for their wider data-handling controls.

Provider support and performance

Live integrations cover OpenAI, Anthropic, and Google Gemini. The proxy also supports Google AI and any OpenAI-compatible API, with streaming responses. Nonym states that processing adds under 20ms of overhead and that streaming works without buffering or delay, which is better suited to interactive applications than a design that waits for complete responses.

Audit and security controls

Requests can be logged with detection counts, PII types, and confidence scores. A full audit trail is reserved for paid plans, so the free Community option is less useful where demonstrable traceability is a requirement. For managed Cloud, token mappings remain in memory for the request and are never written to disk, reducing persistent exposure during proxy operation.

Compliance workflow automation

Questionnaire Automation accepts PDF, DOCX, or plain-text uploads and drafts answers cited from Nonym compliance data. It is still in active development, so it is an emerging convenience rather than a reason to replace established review processes.

Pricing

Nonym uses a freemium model. The Community plan costs free, is for non-commercial self-hosting, and includes community support. It is appropriate for evaluation, personal projects, and organisations that can accept a non-commercial licence; it is not the commercial deployment option.

Cloud costs $49 a month, billed at $49 / month + $0.50 per 10K requests. It includes 90-day audit-log retention and email support with a 48-hour response. This is the accessible paid entry point for teams that prefer managed infrastructure, but high request volumes make the variable charge important to budget.

Self-Host License costs $99 a month, billed at $99 / month with no per-request charges. It permits commercial use on the customer’s own infrastructure and keeps support at a 48-hour email response. It fits predictable or substantial traffic and organisations that require infrastructure control, while adding operational responsibility.

Enterprise uses custom pricing, starting at ~$2,500/month. It is tailored to volume and compliance needs and adds a dedicated customer success manager with a four-hour SLA, plus private VPC and air-gapped deployment options. This tier is aimed at regulated or large-scale environments rather than cost-sensitive teams.

Platforms

Nonym is offered through an API, web interface, and self-hosted deployment. Its hybrid deployment model lets teams combine managed and customer-controlled infrastructure; Enterprise adds private-VPC and air-gapped choices.

Who it's for

Security and compliance teams can use the inventory, discovery, DSAR, retention, regulatory, and audit functions alongside AI controls. Engineers benefit from compatibility with existing OpenAI-compatible endpoints and streaming. CTOs and founders get a route to commercial self-hosting or managed Cloud without redesigning application responses. It is a weaker fit for a small project that only needs cookie consent or a basic privacy notice.

Pros and cons

Pros

• Reversible tokenisation limits PII sent to AI vendors while preserving application context.
• Support for major providers and OpenAI-compatible APIs reduces integration lock-in.
• Under-20ms stated overhead and unbuffered streaming suit interactive AI features.
• Commercial self-hosting and Enterprise air-gapped deployment address stricter infrastructure requirements.
• Privacy-management workflows extend beyond prompt filtering.

Cons

• Cloud adds $0.50 per 10K requests, making costs less predictable at scale.
• Community is restricted to non-commercial self-hosting and has only community support.
• Full audit trails are paid-plan features, limiting free-plan governance value.
• Questionnaire Automation remains in active development.

Alternatives

For consent and cookie management across mobile and web, DataShyre offers a free tier for up to 500 unique users and paid plans from $99 per month. DPDP.ai is a better match when a no-expiry cookie-consent free tier with 10,000 consents per month is the priority. Teams wanting inspectable open-source privacy engineering should consider Ethyca Fides. Osano Cookie Consent suits organisations focused on cookie consent and an open-source plugin. For a diagnostic compliance scan rather than an AI proxy, ComplyDP is the more direct choice. EasyDP, PrivacyEngine, and PrivacyEvo are alternatives for broader privacy-management needs with their own free or entry plans.

Verdict

Choose Nonym if your team needs to keep PII out of AI-provider requests while retaining application behaviour, audit context, and deployment flexibility. Its strongest case is a commercial, compliance-conscious AI workload that can justify Cloud usage charges or self-hosting. Look elsewhere if you need only consent management, a narrowly scoped compliance scan, or a free commercial deployment without infrastructure and plan constraints.