Operate, Govern, and Control AI at Scale

AgentWatch helps enterprises discover shadow AI, protect sensitive data, and govern every AI interaction across employees, apps, agents, and LLM providers.
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What is AgentWatch?

AgentWatch is a centralized observability and compliance gateway that sits between your applications (business agents, coding agents, internal tools) and any LLM provider. All LLM traffic flows through one endpoint—so you can monitor, secure, govern, and analyze every stream in real time.

Full visibility

Full visibility across agents, apps, and LLM providers

Data Protection (DLP)

Sensitive-data protection with built-in DLP scanning

Compliance Controls

Compliance-ready controls aligned to GDPR, HIPAA, SOX, PCI-DSS, SOC 2, and ISO 27001

Reliable Routing

Reliable routing with circuit breakers and automatic failover

Cost Governance

Cost governance with token-level tracking, budgets, and chargeback reporting

Discover Shadow AI Before It Becomes a Breach

Employees may already be using public AI tools like ChatGPT, Claude, Gemini, and Perplexity with company documents, contracts, source code, spreadsheets, and customer information. AgentWatch helps security teams make that activity visible from the endpoint, identify risky AI usage, and detect attempts to upload sensitive company data into public AI platforms.

  • See which public AI tools are being used
  • Identify the users and devices involved
  • Detect risky document or data uploads
  • Enforce policy before access through VPN or other company systems
  • Give security teams evidence for investigation, governance, and remediation
The Challenge

Enterprises are adopting AI across teams, tools, and vendors—creating:

Unseen Shadow AI Usage

Employees use public AI with sensitive data, outpacing security

Key Sprawl & Policy Inconsistency

A sprawl of API keys and inconsistent policies

Lack of Usage, Prompt, and Cost Visibility

Little to no visibility into usage, prompts, or costs

Sensitive Data Exposure Risk

High risk of sensitive data leakage into third-party systems

Provider Reliability and Throttling Risks

Reliability issues when providers throttle or fail

Missing Team-Level Budgeting and Controls

No simple way to enforce budgets and usage controls per team

The Solution

One gateway. One policy layer. One source of truth.

AgentWatch combines gateway-level AI governance with endpoint-aware Shadow AI discovery, helping organizations monitor approved LLM traffic while also detecting risky use of public AI tools from managed devices.

OpenAI-Compatible Integration

Connect your apps and agents to AgentWatch using an OpenAI-compatible API

Multi-Provider Routing

Route requests to OpenAI, Anthropic, Google, OpenRouter, or custom/private providers

DLP + Guardrails Enforcement

Scan & enforce DLP and guardrails before data leaves your environment

End-to-End Observability

Observe & audit every request with correlated logs and metrics

Spend Governance

Govern spend with token counting, budgets, alerts, and billing/chargeback reporting

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Core Capabilities

Multi-Provider Routing (OpenAI-Compatible)

  • One API endpoint for multiple model providers
  • Streaming support and response caching
  • Provider selection rules + intelligent routing
  • Automatic failover when a provider is degraded

Data Loss Prevention (DLP)

Automatically detects and flags/blocks:

  • PII (SSNs, email, phone, etc.)
  • PHI (medical identifiers/records patterns)
  • Financial data (card/bank patterns)
  • Secrets (API keys, credentials, tokens)

Shadow AI Discovery

  • Detect usage of public AI platforms from managed endpoints
  • Flag sensitive docs, code, contracts, or customer data uploads
  • Map activity to users, devices, tools, and policy status
  • Support access requirements before VPN or company system login
  • Give security teams visibility into AI usage outside sanctioned workflows

Built-In Enterprise Security

  • Encrypted API keys at rest (AES-256-GCM)
  • JWT authentication and role-based access control
  • Comprehensive audit logging for every operation
  • Designed to work in enterprise network environments (including proxy scenarios)

Compliance-Ready Controls

  • Configurable guardrails and policy modes aligned to common frameworks
  • Data classification and configurable retention policies
  • Block, warn, or allow with full evidence trails

Cost Management & Budgeting

  • Token-level usage tracking and analytics
  • Per-tenant and per-team budgets with alerts
  • Cost attribution for internal chargeback
  • SaaS-ready billing support (Stripe integration)

Full Observability for Every LLM Stream

AgentWatch turns black-box AI usage into measurable, auditable operations.

  • Prometheus-compatible metrics
  • Structured JSON logs with correlation IDs
  • Dashboards for usage, latency, error rates, and provider performance
  • Audit-ready records of who used what model, when, and under which policy

Why AgentWatch

Built for enterprise from day one

Many gateways start as dev tools and add enterprise controls later. AgentWatch is designed from the ground up for organizations that need governance, auditability, and cost controls—without slowing development.

What you get:

  • Multi-tenant architecture with org/team hierarchies
  • Strong access controls + encrypted secrets management
  • Compliance and DLP as first-class features
  • Deployment flexibility: on-prem, your cloud, or SaaS

Unique Differentiators

Knowledge extraction (MCP) + code intelligence
Integrated MCP server for repository indexing and code analysis (Tree-sitter), plus optional security scanning (Semgrep, Trivy).
Compliance built-in
More than guardrails—policy modes, classification, retention, and audit trails designed to satisfy enterprise controls.
SaaS-ready billing
Not just tracking—Stripe integration to support plans, tenants, and monetization workflows from day one.
Enterprise proxy mode
Designed to support enterprise proxy environments (e.g., Zscaler) for transparent routing and policy enforcement.

KPIs at Scale

AgentWatch provides solid trackable performance KPIs for key stakeholders throughout the organization: controlled costs, IT security, network performance, and policy governance.

CISO

Security & Compliance

142

PII Events Blocked Monthly

100%

Injection Attack Block Rate

CIO

Cost & Governance

100%

Cost Attribution Visibility
KPI Category
Primary Metric
Current Value
Primary Stakeholder
Cost Control
Cost Attribution Visibility
100%
CIO / CFO
Data Protection
DLP Events Detected (Monthly)
142+ PII
CISO
Compliance
Frameworks Supported
4 (GDPR, HIPAA, SOC2, PCI)
CISO / CIO
Performance
Average Latency
2.89s (P95: 5.24s)
CTO / VP Engineering
Security
Injection Attack Block Rate
100%
CISO
Governance
Audit Log Retention
7 years (SOX)
CIO / Legal
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Use Cases

Shadow AI Discovery
See where employees use public AI, which devices, and data risk
Private AI Governance
Enforce DLP and compliance across all internal AI tools
Multi-Model Strategy
Route to the best provider per task with failover and health checks
Cost Containment
Budgets, alerts, and attribution per org/team/user
Security Operations
Audit trails, anomaly detection signals, and investigation-ready logs
Agentic Workflows
Visibility into activity between business/coding agents and LLMs

Deployment Options

Self-hosted: on-prem or in your cloud

SaaS: multi-tenant ready for managed deployments

Hybrid: connect private models and public providers under one policy plane

Frequently Asked Questions

What is AgentWatch and how does it help enterprises govern AI usage?
AgentWatch is an AI observability and governance gateway that sits between your applications and any LLM provider (OpenAI, Anthropic, Google, custom models), giving you complete visibility and control over every AI interaction. It prevents data leaks, detects shadow AI, enforces spending limits, and creates audit trails—turning ungoverned AI usage into measurable, compliant operations.

‍Key capabilities: Real-time DLP, cost tracking, multi-provider routing, shadow AI detection, and 100% audit coverage for regulated industries.
What is Shadow AI and how does AgentWatch detect it?
hadow AI is when employees use public AI tools (ChatGPT, Claude, Gemini) with sensitive company data—contracts, code, customer info—without IT oversight. AgentWatch detects shadow AI through endpoint monitoring that identifies risky AI usage patterns and flags attempts to upload confidential data to unauthorized platforms, helping security teams prevent breaches before they happen.
How do I prevent employees from uploading sensitive data to ChatGPT?
Prevent data leaks to ChatGPT and other public AI tools by deploying an AI gateway with DLP (Data Loss Prevention). AgentWatch scans all AI interactions for sensitive data—credit cards, SSNs, API keys, PII, source code—and blocks or flags risky uploads before they leave your network. Combine this with endpoint monitoring to detect shadow AI usage across your organization.
What is an AI gateway and why do enterprises need one?
An AI gateway is a centralized proxy that sits between your applications and LLM providers (OpenAI, Anthropic, Google), routing all AI traffic through one controlled endpoint. Enterprises need AI gateways to gain visibility into AI usage, enforce security policies, prevent data leaks, control costs, and maintain audit trails—capabilities that direct API integrations cannot provide.

‍AgentWatch is an enterprise AI gateway with built-in DLP, shadow AI detection, and compliance controls.
How does AgentWatch integrate with our existing AI tools and applications?
AgentWatch uses an OpenAI-compatible API, making integration seamless with your existing apps and agents. Simply point your applications to AgentWatch's gateway endpoint, and it routes requests to OpenAI, Anthropic, Google, OpenRouter, or custom providers while automatically enforcing DLP and guardrails. Minimal code changes required—your apps continue using familiar API patterns while gaining enterprise-grade governance and security
How does AgentWatch help control AI costs and spending?
AgentWatch provides token-level cost tracking with budgets, alerts, and chargeback reporting across all LLM providers. Set spending limits per department, project, or user, and see exactly which teams and applications consume the most tokens. The unified dashboard tracks costs across OpenAI, Anthropic, Google, and custom models in one place, eliminating the visibility gaps that plague enterprise AI adoption.
What types of sensitive data can AgentWatch detect and protect?
AgentWatch's DLP automatically detects and blocks: credit card numbers, social security numbers, API keys, PII (personally identifiable information), proprietary source code, confidential business documents, customer data, and financial information. The platform scans every prompt and enforces policies before data leaves your environment, preventing accidental or intentional exposure to third-party AI providers
. How does AgentWatch ensure compliance and auditability for regulated industries?
AgentWatch provides 100% audit coverage of all LLM interactions with immutable logs and correlated metrics for every request. The platform creates a complete audit trail showing who accessed which models, what prompts were sent, what data was included, and what responses were received. This comprehensive auditability meets requirements for regulated industries in finance, healthcare, insurance, and energy where traceability is mandatory.

Get a Live Walkthrough

Make AI adoption auditable, secure, and cost-controlled—without slowing teams down.
Schedule a demo or talk to an expert to see AgentWatch in your environment.
Schedule a Demo