AgentWatch helps enterprises operate, govern, and control private AI with built-in security capsules, compliance, observability, and cost management from day one.
AgentWatch is a centralized observability and compliance gateway for private AI that sits between your applications (business agents, coding agents, internal tools) and any LLM provider. All LLM traffic flows through one endpoint, guarded by security capsules for secure guardrailing and sandboxed enforcement, so you can monitor, secure, govern, and analyze every stream in real time.
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.
Employees use public AI with sensitive data, outpacing security
A sprawl of API keys and inconsistent policies
Little to no visibility into usage, prompts, or costs
High risk of sensitive data leakage into third-party systems
Reliability issues when providers throttle or fail
No simple way to enforce budgets and usage controls per team
Connect your apps and agents to AgentWatch using an OpenAI-compatible API
Route requests to OpenAI, Anthropic, Google, OpenRouter, or custom/private providers
Scan & enforce DLP and guardrails through security capsules before data leaves your environment
Observe & audit every request with correlated logs and metrics
Govern spend with token counting, budgets, alerts, and billing/chargeback reporting
Automatically detects and flags/blocks:
AgentWatch turns black-box AI usage into measurable, auditable operations.
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 private AI organizations that need governance, auditability, and cost controls—without slowing development.
What you get:
AgentWatch is an AI observability and governance gateway for private AI that sits between your applications and any LLM provider (OpenAI, Anthropic, Google, custom models), giving you complete visibility and control over every AI interaction. Every request runs inside a security capsule, preventing data leaks, detecting shadow AI, enforcing spending limits, and creating 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.
Shadow 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.
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 inside security capsules for sensitive data—credit cards, SSNs, API keys, PII, source code—and blocks or flags risky uploads before they leave your network.
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 for private AI, with built-in security capsules, DLP, shadow AI detection, and compliance controls.
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 through security capsules. Minimal code changes required—your apps continue using familiar API patterns while gaining enterprise-grade governance and security.
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.
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. Every request runs inside a security capsule, which scans each prompt and enforces policies before data leaves your environment, preventing accidental or intentional exposure to third-party AI providers.
AgentWatch provides 100% audit coverage of all LLM interactions with immutable logs and correlated metrics for every request. Every interaction runs inside a security capsule, and 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 — whether deployed on-premise or cloud VPC.