Datadog AI Guard is a defense-in-depth product designed to inspect, block, and govern AI behavior in real time. AI Guard is built to plug in directly with existing Datadog tracing and observability workflows to secure agentic AI systems in production. It sits inline with your AI app/agent and layers on top of existing prompt templates, guardrails, and policy checks, to secure your LLM workflows in the critical path.

AI Guard protects against prompt injection, jailbreaking, and sensitive data exfiltration attacks with Prompt Protection, Tool Protection, and Sensitive Data Protection. Together, these capabilities protect against the agentic lethal trifecta:

• Privileged system access
• Exposure to untrusted data
• Outbound communication

AI Guard also detects sensitive data such as personally identifiable information (PII) and secrets in LLM inputs and outputs. These protections work for any target AI model, including OpenAI, Anthropic, Bedrock, VertexAI, and Azure. To see your AI agents and services mapped out, including how they interact with each other and which ones AI Guard is protecting, go to the Discover page.

To quickly evaluate a conversation without any code or setup, use the AI Guard Playground to submit user input, assistant output, and tool calls, and see the evaluation result in real time.

For information on how to set up AI Guard, see Get Started with AI Guard.

Further reading

Documentation, liens et articles supplémentaires utiles:

Get Started with AI GuardDOCUMENTATION AI Guard Security SignalsDOCUMENTATION Protect agentic AI applications with Datadog AI GuardBLOG LLM guardrails: Best practices for deploying LLM apps securelyBLOG