Enforce automated AI security guardrails across your entire ecosystem.

Whether it’s for AI agent, LLM, or MCP use cases, data privacy and security are major concerns. Satisfy the strictest of AI security concerns with a true platform approach to securing the entire AI lifecycle.

### Build secure, universal LLM APIs

Expose multi-model architectures as universal API products via the Kong AI Gateway.

### Enforce strict AI security policies and guardrails

Automate and standardize security policies, such as PII sanitization, authorization, prompt guards, and more.

### Ensure secure MCP and agentic adoption

Secure and govern access to MCP servers so that agents don’t end up accessing and abusing business-critical resources.

### Observe every AI interaction

Set up unified observability for API, LLM, and MCP consumption — and track usage on a per-agent level.

## 01

“Feed” AI agents with self-service, secure access to the APIs, real-time data, LLMs, and MCP servers that they’ll need to do their jobs well.

[Learn More](/blog/product-releases/securing-observing-governing-mcp-servers-with-ai-gateway)Learn More

## 02

Offload critical security policies from the individual developer to a standardized AI security layer, so that AI best practices around prompt guards, content moderation, PII, sanitization, and more are always enforced.

[Learn More](/products/kong-ai-gateway)Learn More

## 03

Kong AI Gateway comes with a pre-built PII sanitization model that augments your AI Gateway with accurate PII sanitization so that sensitive data never leaks into an LLM.

[Learn More](/blog/enterprise/building-pii-sanitization-for-llms-and-agentic-ai)Learn More