AI security 2026 Rank: #1054

AI Security Gateway ✓

AI Firewall & LLM Proxy — PII Redaction, Smart Routing, Budget Enforcement

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Verdict

A quick read before you dig into the full page.

Best if
AI Firewall & LLM Proxy — PII Redaction, Smart Routing, Budget Enforcement
Skip if
Wallet mode Pay as you got starts at $10
Pick this when
Professional security gateway

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Overview

AI Security Gateway (AISG) is a vendor-neutral AI firewall and LLM proxy and AI Governance Gateway with DLP, SSO, RBAC, SIEM, and Hybrid VPC. Auto-redacts 30+ PII types from LLM prompts, routes across 600+ models and 8 providers, enforces per-project budgets, kills agent loops, and streams security events to your SIEM. Enterprise SSO (Okta, Azure AD, Google Workspace), 4-tier RBAC, and Hybrid VPC deployment where prompts never leave your network. OpenAI SDK compatible. Open-source core (Apache 2.0).

It sits between your app and LLM providers (OpenAI, Anthropic, Google, Meta, Mistral, xAI, Groq, DeepInfra, TogetherAI and others) to enforce security policies before prompts reach any third party. Drop it in with a 2-line base URL change.

Core capabilities:

🔒 PII Redaction: Auto-detects and redacts 28+ entity types (names, emails, SSNs, credit cards, etc.) from prompts before they leave your infrastructure
👁️ Vision DLP: OCR-based scanning of images for sensitive data before sending to vision models
⚡ Smart Routing: Automatically selects the most cost-efficient provider across 380+ models
💰 Budget Enforcement: Per-project spending caps with hard limits — requests blocked when budget is exhausted
🛡️ Project-Level DLP Policies: Versioned, per-project security policies with custom regex patterns
🚫 Prompt Injection Blocking: Heuristic detection of jailbreak and injection attempts
⚡ Recursive loop protection — auto-kills agent retry loops ($108/hr saved)
🛡️ HMAC-SHA256 webhook alerts — push to Slack, PagerDuty, or SIEM in real time
👁️ Hybrid VPC deployment — compiled Go proxy runs inside your infrastructure
🛡️ Docker Compose + Kubernetes — 3-container stack, deploy in minutes
🛡️ SAML SSO — Okta, Azure AD, Google Workspace with auto-provisioning
🛡️ 4-tier RBAC — Owner, Admin, Member, Viewer with 17 granular permissions
👁️ SIEM Connectors — stream events to Splunk HEC, Datadog Logs, or Microsoft Sentinel
🛡️ On-premises DLP — 30+ PII entity types redacted locally, sub-50ms
⚡ Cloud-managed policies — update rules from dashboard, synced every 30s
👁️ Zero data egress — only metadata (token counts, violation counts, latency) reaches cloud
🛡️ Fail-closed architecture — blocks requests if DLP unavailable, never fails open
🛡️ Private container registry — authenticated image pulls, deployment token provisioned during onboarding

Compliance:
• EU AI Act Article 12 compliant audit logging (enforcement: Aug 2, 2026)
• Hash-chained tamper-evident records — SHA-256 fingerprints, no raw content
• JSONL export + chain verification API
• GDPR, HIPAA, PCI-DSS ready

✅️ Privacy by design: Stateless proxy architecture — prompts and responses exist only in volatile memory during processing. Zero retention. No training on your data.

✅️ Integration:
• OpenAI SDK compatible — 2-line code change
• Python SDK: pip install aisg
• Streaming (SSE) fully supported
• Open-source core: Apache 2.0

✅️ Free: 1M credits, no credit card. Try the AI Leak Checker (no signup): aisecuritygateway.ai/ai-leak-checker

🔗 Open source: https://github.com/aisecuritygateway/aisecuritygateway
  • Ai Prompt Leak Protection
  • Llm Prompt Pii Redaction
  • Ai Security Firewall
  • Stateless Ai Firewall
  • Pii Redaction (28+ Entity Types)
  • Prompt Injection Detection
  • Vision Ocr Dlp (scans Images For Pii)
  • Credit Card Detection With Luhn Validation
  • Recursive Loop Protection
  • Api Key And Secret Detection
  • Works With All Major Llm Providers
  • Eu Ai Act Compliance Logging
  • Access To Llm Models
  • Openai Sdk Compatible Proxy
  • Webhook Notifications
  • Private And Secure: Your Data Is Never Used For Training
  • Multi-provider Support (anthropic/openai/gemini)
  • Model Gateway: Use Built-in Provider Keys; One Billing Surface For Models
  • Multi-provider Smart Routing
  • 200+ Llm Models Supported
  • Budget Enforcement Per Project
  • Cost Optimization Across Providers
  • Byok (bring Your Own Key) With 0% Markup
  • 2-line Code Integration
  • Zero Data Retention
  • Python Sdk
  • Jsonl Audit Export
  • Chain Verification Api
  • 1m Free Credits (no Credit Card)
  • Openai, Anthropic, Groq, Gemini, Mistral, Llama, Xai Support
  • Saml Sso — Okta, Azure Ad, Google Workspace With Auto-provisioning
  • 4-tier Rbac — Owner, Admin, Member, Viewer With 17 Granular Permissions
  • Siem Connectors — Stream Events To Splunk Hec, Datadog Logs, Or Microsoft Sentinel
  • Hybrid Vpc — Compiled Go Proxy In Your Network, Cloud Dashboard For Policies
  • Per-project Budget Enforcement With Hard Spending Caps
AI Security Gateway website

Best for

Short scenarios where AI Security Gateway tends to shine.

  • AI Firewall & LLM Proxy — PII Redaction, Smart Routing, Budget Enforcement

Example outputs 1

Sample generations and before/after results for AI Security Gateway.

Access & connections

Where you can use AI Security Gateway, and what it plugs into.

Platforms

Web

Integrations

API

Public API available

Auth: API key

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Code
  • Tabular
  • Image
  • Text

Output

  • Code
  • Tabular
  • API
  • Text

Highlights

  • API
  • Open Source
  • Local

Supported features

  • API
  • Open Source
  • Runs Locally
  • Cybersecurity

Pros & cons

Pros

  • Professional security gateway
  • Hardened, stateless firewall
  • Supports 300+ models
  • Total data sovereignty enforcement
  • Real-time redaction of 28+ PII entities
  • Image OCR for PII detection
  • Autonomous cost-optimized routing
  • Saves up to 90% vs GPT-4o
Show 38 more
  • Per-project budget governance
  • Token quotas enforcement
  • Audit-ready security logs
  • Integration in 2 lines of code
  • Privacy-first governance layer
  • Never persist prompt content
  • Smart routing of provider efficiency
  • Hard budget enforcement
  • Full audit trails
  • GDPR, HIPAA, PCI-DSS compliant
  • Prevention of vendor lock-in
  • Dashboard-configured spending limits
  • Security and compliance awareness
  • Model versatility
  • Automated PII protection
  • Multi-Modal Data Loss Prevention
  • Autonomous cost control
  • Cost-optimized provider routing
  • Neutral governance layer
  • Security auditing
  • API Key Generation
  • No data persistence
  • Pay-as-you-go Wallet mode
  • Pro Plan for BYOK
  • Zero-Percent Markup option
  • Sensitive Data Auto-redaction
  • Starts with 1 Million free credits
  • Budget enforcement per API key
  • Disposable API request logs
  • Platform Neutral Implementation
  • Active Firewall Functionality
  • Built-in DLP Policy Engine
  • Prompt Injection Blocking
  • Scan and Clean Data Functionality
  • Optimize cost and enforce limits
  • PII is removed inside Hub
  • Custom Regex IP Guard
  • Multiple Provider Failover Functionality

Cons

  • Wallet mode Pay as you got starts at $10
  • Provider optimization not customizable
  • Only 28+ PII entities detected
  • No OCR scanning customizations
  • Pro plan required for BYOK

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Releases 1

Initial release April 11, 2026 Current
Initial release of AI Security Gateway.

Imported reviews 1

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ai arena Apr 14, 2026 v@ initial release

AI firewall for PII and smart routing looks promising.

FAQ 12

What is OpenSourceAIHub?
OpenSourceAIHub is an open-source AI firewall and proxy designed to enhance data security and cost optimization when using Language Learning Models (LLMs). It provides a layer of security that sanitizes application prompts for sensitive data types before they reach AI models in third-party servers, thus helping prevent personal identifiable information (PII) leaks. The tool also enables effective control over request routing to the most cost-efficient provider, all while requiring minimal code alterations for integration into existing systems.
How does OpenSourceAIHub prevent data leaks?
OpenSourceAIHub mitigates data leaks by efficiently sanitizing application prompts for sensitive data types before they reach AI models in third-party servers. Its AI firewall inspects every message before it leaves and removes any sensitive details. This process helps prevent leaks of personal identifiable information (PII) such as names, emails, credit cards, or passwords.
Does OpenSourceAIHub support cost optimization?
Yes, OpenSourceAIHub supports cost optimization by ensuring requests are routed to the most cost-efficient provider available. This helps manage expenditure on AI processes effectively. Its security dashboard even allows users to track potential cost savings in real-time.
How does the OpenSourceAIHub firewall work?
The OpenSourceAIHub firewall works by scanning each request for sensitive data and removing any such data before it is sent to third-party AI servers. This ensures that the AI models on the other side never receive any sensitive data like Personal Identifiable Information (PII), thus protecting users from potential data leaks.
What steps are required to set up OpenSourceAIHub?
To set up OpenSourceAIHub, three steps are required: first, the user must create an account. Second, they must point their API to OpenSourceAIHub. Finally, they must send their requests safely. This straightforward process allows ease of integration into existing systems.
What types of applications and services is OpenSourceAIHub compatible with?
OpenSourceAIHub is compatible with numerous applications and services. It supports several top Language Learning Models (LLMs), offering versatility and no vendor lock-in. Its compatibility extends to other services, like Google and GitHub, further enhancing its utility and versatility.
Does OpenSourceAIHub ensure GDPR and PCI compliance?
Yes, OpenSourceAIHub ensures GDPR and PCI compliance. The tool includes capabilities for GDPR and PCI template inclusion, making it a safe choice for users that are concerned about compliance with data protection regulations.
Can OpenSourceAIHub be used with multiple Language Learning Models?
Yes, OpenSourceAIHub can be used with multiple Language Learning Models (LLMs). It offers the versatility of supporting several top LLMs, eliminating potential vendor lock-in and enhancing its overall utility and versatility.
How does OpenSourceAIHub enhance data security?
OpenSourceAIHub enhances data security by adding a vital layer of protection that sanitizes application prompts for sensitive data types before they reach AI models on third-party servers. This process screens out potentially sensitive details like names, emails, credit cards, or passwords. Additionally, the tool logs every request for user review, but refrains from storing any data within the tool itself, thus providing transparency without compromising data security.
What functions does the OpenSourceAIHub security dashboard provide?
The OpenSourceAIHub security dashboard provides a means of user control over AI requests. It enables real-time tracking of sensitive data protection and policy enforcement. In addition, it allows users to monitor potential cost savings associated with AI process expenditure.
What does OpenSourceAIHub mean by 'transparent logging'?
'Transparent logging' in the context of OpenSourceAIHub refers to the tool's feature where every request is logged for user review. However, no data is stored within the tool itself. This manner of transparency can assist users in understanding how the firewall is working and what data it's interacting with, while maintaining data privacy.
Who is the target audience for OpenSourceAIHub?
The target audience for OpenSourceAIHub includes both startups looking for data leak prevention methods, and backend engineers in search of a drop-in OpenAI SDK replacement with automatic PII removal and cost routing capabilities.
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