AgentWatch
AgentWatch
Enterprise AI Gateway

Orchestrate Your
Enterprise AI Intelligence

A powerful multi-tenant LLM proxy and AI gateway. Manage providers, enforce policies, track usage, and protect sensitive data — all through a single unified API.

100%
AI Visibility
5
Native SDKs
40%
Cost Savings
99.9%
Uptime

One SDK for 100+ Models

Access every AI model through the OpenAI SDK. Switch providers by changing the model name — no code rewrites needed.

Plus 100+ more models from providers like: Mistral, Groq, Together AI, AWS Bedrock, Azure, and more


          

          

        
Get Started ›
No credit card required — start in minutes
Current State

The Enterprise AI Problem

Without a centralized gateway, AI usage across your organization is invisible, uncontrolled, and risky.

🤖
Internal Chatbot
HR & IT Support
💬
Customer Support Bot
CX Platform
💻
Code Assistant
Dev Tooling
⚙️
AI Workflows
Automation
⚠️ Direct, unmanaged API calls — no logging, no DLP, no governance
No Central Gateway
No logging · No DLP · No rate-limiting · No failover
🔍 Zero monitoring — unaudited traffic
🟢
OpenAI
GPT-4 / GPT-4o
🟠
Anthropic Claude
Claude 3.5 / Opus
🔵
Google Gemini
Gemini Pro / Ultra
🟣
Azure OpenAI
Enterprise Tier
👁️
No Visibility
No centralized logging of AI requests, costs, or usage patterns across the organization.
🔓
Data Leakage Risk
Sensitive data sent directly to LLM providers without any DLP scanning or redaction.
💸
No Cost Controls
No per-user or per-team budgets, no spend alerts, and no usage limits in place.
🔗
Vendor Lock-In
Applications tightly coupled to specific provider APIs, making migration costly.
🔑
Manual Key Management
API keys scattered across applications with no centralized rotation policy.
📋
No Compliance Audit
Cannot prove data handling compliance to auditors or regulatory bodies.
🚨
Zero Failover
Single provider failure results in complete service outage with no fallback.
👻
Shadow AI
No way to discover or control unauthorized AI usage across the enterprise.
0%
Visibility
0
DLP Scans
None
Budgets
None
Audit Trail
The Solution

AgentWatch as Your AI Gateway

A single, centralized control plane for all enterprise AI traffic — with full governance, observability, and cost control.

💬
Internal Chatbot
🏢
Customer Support Bot
💻
Code Assistant
⚙️
AI Workflows
Any native SDK — OpenAI · Azure · Anthropic · Gemini · Cohere
🛡️
AgentWatch AI Gateway
DLP Scanning · Cost Control · Observability · Load Balancing
Managed, governed connections
🟢
OpenAI
🟠
Anthropic
🔵
Google Gemini
🟣
Azure OpenAI
🏠
Ollama (Local)
🔄
Applications simply change their base URL to your AgentWatch endpoint — using their existing SDK. No code changes, no wrapper SDKs, no format conversion. AgentWatch handles cross-provider routing, format translation, and full governance transparently.
Full Observability
Real-time dashboards, request logging, and latency tracking across every AI call in your organization.
DLP Protection
PII, PHI, and credentials automatically redacted or blocked before reaching any LLM provider.
Cost Management
Per-user and per-team budgets with real-time spend alerts, forecasts, and hard caps.
Model Routing
Smart load balancing across providers with automatic failover and retry logic built in.
Compliance Audit
Complete audit trail for every AI interaction. Exportable for SOC2, HIPAA, and GDPR requirements.
Response Enrichment
Agentic workflows to validate, filter, and enhance LLM responses — automatically handle empty or failed responses.
100%
Visibility
Every
Request Scanned
Per-User
Budgets
Full
Audit Trail
Flexible Deployment

Deploy Any Way You Need

AgentWatch fits into your existing infrastructure — no rip-and-replace required.

Zero Code Changes
🌐
Transparent Proxy Mode
Intercept all AI traffic at the network level via DNS override or proxy settings. Applications never know AgentWatch is there.
  • DNS or firewall redirect — zero application changes
  • Captures 100% of AI traffic organization-wide
  • Ideal for covering shadow AI and legacy applications
  • PAC file or HTTP_PROXY env var support
Zscaler-Ready
🌍
Zscaler Integration
Works alongside Zscaler ZIA/ZPA. Zscaler handles network-level SSL inspection; AgentWatch adds AI-specific DLP, budgets, and observability.
  • PAC file or forwarding rules route AI traffic
  • Certificate trust chain integration
  • Zscaler injects tenant identification headers
  • Unified audit: network logs + AI audit trail
Enterprise HA
⚖️
Behind Load Balancer / Firewall
Deploy AgentWatch as a containerized cluster behind your existing F5, NGINX, or AWS ALB for high-availability enterprise deployments.
  • Compatible with F5, NGINX, AWS ALB, HAProxy, Traefik
  • Active-active HA with auto-scaling
  • Docker / Kubernetes / ECS / OpenShift
  • On-prem, private cloud, or edge — no vendor lock-in
99.9%
Uptime (HA)
<10ms
Overhead
0
Code Changes (Proxy)
Horizontal Scale
Capabilities

Everything You Need to Govern AI

AgentWatch covers every dimension of enterprise AI governance out of the box.

📊
Observability
Real-time dashboards showing requests, latency, costs, and errors across all providers and users.
🛡️
DLP & Security
PII, PHI, credentials, and API keys detected and redacted using NER and regex patterns on every request.
💰
Cost Management
Per-user, team, and department budgets with alerts, spending forecasts, and hard limits.
📖
Model Catalog
Browse all available models with pricing, enable or disable per org, and configure smart routing rules.
Compliance
Full audit trail, data retention policies, and exportable logs for SOC2, HIPAA, and GDPR.
Response Enrichment
Agentic workflows detect empty or failed responses and automatically call fallback LLMs or APIs.
🔀
Multi-Provider Routing
Route to OpenAI, Anthropic, Google, Azure, and Ollama from one unified API endpoint.
👥
Team Management
Organize users into teams with shared budgets, model access controls, and governance policies.
Zero code changes — just update the base URL and API key
Native support for OpenAI, Azure, Anthropic, Gemini, and Cohere SDKs
Multi-provider failover and load balancing built in
Real-time cost tracking and budget enforcement
PII / PHI detection and automatic redaction
Complete request and response audit logging
Centralized API key management with rotation policy
On-prem, cloud, or hybrid — your data stays with you
Enterprise Parity

Production Gateway Features

8 production-grade capabilities bringing full parity with Kong, Apigee, and Envoy — built natively with no external dependencies.

Request Pipeline
🌐
Client Request
REST / OpenAI-Compatible
🛡️
WAF
OWASP CRS
🔐
OAuth2 / OIDC
JWKS Validation
🔀
Routing
Header Match
Validation
JSON Schema
Redis
Distributed Rate Limit
🎯
Canary
Traffic Split
🧩
Plugins
Sandboxed JS
Tier 1 — Foundation
Foundation
Redis Distributed State
Multi-node scaling with atomic rate limiting via Lua scripts, circuit breaker state sharing across instances, and response caching for reduced latency.
Foundation
📖
OpenAPI Auto-Generation
Auto-generated OpenAPI 3.0 spec from gateway routes with interactive Swagger UI documentation served at a built-in endpoint.
Tier 2 — Advanced
Advanced
🔐
OAuth2 / OIDC Support
OIDC discovery, authorization code flow, JWKS validation, user auto-provisioning, and domain restriction out of the box.
Advanced
🎯
Canary / Traffic Splitting
Weighted random, header-based, and sticky sessions with real-time traffic distribution statistics for safe rollouts.
Advanced
JSON Schema Validation
AJV-powered request and response validation with reject, warn, and log failure modes — protect your APIs from bad payloads.
Tier 3 — Enterprise
Enterprise
🧩
Plugin System
Sandboxed JavaScript plugins via Node.js vm module with 5 lifecycle hooks and fail-open design for maximum resilience.
Enterprise
🛡️
Advanced WAF
OWASP CRS-like regex detection for SQLi, XSS, command injection, and path traversal — detect or block mode, zero external dependencies.
Enterprise
🔀
Header-Based Routing
Exact, glob, and regex header matching with AND/OR logic for precise and flexible request routing across providers.
8
Production Features
48
API Endpoints
100%
Kong / Apigee Parity
0
External Deps (WAF)
Native SDK Integration

Zero Code Changes

Use your existing SDK. Just change the base URL and API key. AgentWatch speaks every native SDK format — no wrappers, no converters.

🟢
OpenAI SDK
Bearer token
🟣
Azure SDK
api-key header
🟠
Anthropic SDK
x-api-key header
🔵
Gemini SDK
x-goog-api-key
🔴
Cohere SDK
Bearer token
Native request format — no conversion needed at the client
🛡️
AgentWatch AI Gateway
Multi-Auth → Model ACL → DLP → Budget → Format Conversion → Routing → Usage Recording
Auto-converted to provider-native format
🟢
OpenAI
🟠
Anthropic
🔵
Gemini
🟣
Azure OpenAI
🏠
Ollama
Base URL Reference
SDK Config Property Base URL to Set Auth Header
OpenAI base_url https://your-agentwatch.example.com/v1 Authorization: Bearer
Azure OpenAI azure_endpoint https://your-agentwatch.example.com api-key
Anthropic base_url https://your-agentwatch.example.com x-api-key
Google Gemini client_options.api_endpoint https://your-agentwatch.example.com x-goog-api-key or ?key=
Cohere base_url https://your-agentwatch.example.com Authorization: Bearer
Integration Examples (Python)
# ── OpenAI SDK ───────────────────────────────────────────────────── client = OpenAI( base_url="https://your-agentwatch.example.com/v1", api_key="ak_your_tenant_key" ) # ── Azure OpenAI SDK ──────────────────────────────────────────────── client = AzureOpenAI( azure_endpoint="https://your-agentwatch.example.com", api_key="ak_your_tenant_key", api_version="2024-10-21" ) # ── Anthropic SDK ─────────────────────────────────────────────────── client = Anthropic( base_url="https://your-agentwatch.example.com", api_key="ak_your_tenant_key" ) # ── Google Gemini SDK ─────────────────────────────────────────────── genai.configure( api_key="ak_your_tenant_key", transport="rest", client_options={"api_endpoint": "https://your-agentwatch.example.com"} ) # ── Cohere SDK ────────────────────────────────────────────────────── client = cohere.ClientV2( base_url="https://your-agentwatch.example.com", api_key="ak_your_tenant_key" )
🔀
Cross-Provider Routing
Azure SDK users can access Claude or Gemini models. AgentWatch routes based on model ACL, not SDK type.
🖼️
Multimodal Conversion
OpenAI image_url format auto-converts to Anthropic image/source format and vice versa — completely transparent.
🔧
Tool Calling Translation
OpenAI tools/functions schema converts to Anthropic tool_use blocks automatically — no manual mapping needed.
🔑
Unified Auth
One tenant API key works across all SDK auth headers: Bearer, api-key, x-api-key, and x-goog-api-key.
📊
Unified Observability
All endpoints record usage, cost, and latency to the same dashboard regardless of which SDK format was used.
🛡️
Full Governance on Every Endpoint
Model ACL, DLP scanning, budget enforcement, max tokens, and enrichment applied to every supported SDK endpoint.
5
Native SDKs
12
API Endpoints
5
Auth Methods
0
Code Changes
Transformation

Before & After AgentWatch

What changes when you add AgentWatch to your AI infrastructure.

⛔ Without AgentWatch
  • Direct API calls with no governance or oversight
  • API keys scattered across every application
  • No visibility into AI usage, latency, or costs
  • Sensitive data sent to LLMs completely unscanned
  • Single provider = single point of failure
  • No per-user or per-team spending budgets
  • Cannot audit AI interactions for compliance
  • Empty or failed LLM responses go undetected
  • Shadow AI invisible to IT and security teams
🛡️ With AgentWatch
  • All traffic through a governed, centralized gateway
  • Centralized key management with rotation policies
  • Full observability dashboards and real-time analytics
  • DLP scanning on every single request and response
  • Multi-provider failover and intelligent load balancing
  • Granular budget controls per user, team, and department
  • Complete audit trail ready for SOC2, HIPAA, GDPR
  • Agentic workflows automatically enrich failed responses
  • 100% AI visibility — no shadow AI possible
100%
Visibility
40%
Cost Savings
Zero
Data Leaks
99.9%
Uptime
🚀
AgentWatch deploys in minutes as a Docker container. Works on-prem, in your cloud, or at the edge. No vendor lock-in — your data stays in your infrastructure. Three deployment modes: Direct Integration (fastest), Transparent Proxy (zero code changes), or Hybrid for maximum flexibility.
Ready to Govern Your Enterprise AI?
Get full visibility, compliance, and cost control — in minutes.