Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

PII Firewall review

Free#20 of 23 in AI Guardrail Software

A focused, configurable PII privacy layer for self-hosted LLM applications.

6.5/10Editor score
PII Firewall6.5 Visit PII Firewall

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

PII Firewall is an open-source privacy layer for LLM applications that detects sensitive information before requests reach providers or local models. It is intended for teams that need focused PII protection across healthcare, finance, legal, generic, or custom domains. Distributed as a Python package, it can wrap LLM calls, HTTP endpoints, FastAPI services, and streaming workflows in a self-hosted deployment.

Its standout capability is the depth of its PII workflow. Detection can use regex, Presidio, GLiNER, Transformers, and other configurable backends, while custom regex rules and entity recognizers support domain-specific requirements. Detected values can be pseudonymized, redacted, masked, generalized, hashed, or passed through. After LLM processing, response rehydration restores original values, including through streaming token rehydration. Tenant-scoped vault mappings, audit traces with confidence scores and replacements, and GDPR-oriented forget functionality add control for privacy-sensitive applications.

Integration coverage is broad for a focused privacy layer. PII Firewall supports OpenAI, Anthropic, Mistral, Ollama, LiteLLM, LangChain, and FastAPI, along with provider, framework, HTTP, and streaming integrations. Teams choosing it should be specifically prioritizing PII detection, transformation, and restoration within their LLM pipeline. It is less suitable as a complete AI guardrail system because it does not verify prompt-injection or jailbreak defenses. Organizations seeking those protections alongside PII handling should consider a broader guardrail approach; teams focused on sensitive-data controls should find PII Firewall’s configurable profiles, recognizers, vault mappings, and audit traces more relevant.

PII Firewall pros and cons

  • Where it wins
    • Deep PII detection with configurable backends and custom recognizers
    • Anonymization, vault mappings, rehydration, and GDPR-oriented forgetting
    • Integrations for major providers, frameworks, HTTP, FastAPI, and streaming
  • Where it doesn't
    • Does not verify prompt-injection attacks
    • Does not provide jailbreak detection
    • Self-hosted deployment requires Linux or API integration

PII Firewall fact sheet, pricing and score →

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update