Question 1

What are AI agent guardrails?

Accepted Answer

AI agent guardrails are security controls that constrain what AI agents can do, what inputs they can accept, and what outputs they can return. D2's guardrails provide input validation, output sanitization, and output validation to prevent AI agents from performing unauthorized or dangerous actions. Our guardrails are the most comprehensive in the industry, offering declarative configuration and unified operators for maximum flexibility.

Question 2

Why do I need authorization for AI agents?

Accepted Answer

AI agents are autonomous systems that can call functions, access APIs, and interact with databases. Without proper authorization, an AI agent could be exploited to access sensitive data, perform privileged operations, or chain multiple actions together in dangerous ways. D2 provides function-level authorization specifically designed for agentic AI, including RBAC, guardrails, and sequence enforcement to prevent these security risks.

Question 3

How is D2 different from traditional authorization systems?

Accepted Answer

Traditional authorization systems focus on endpoint-level security, but AI agents operate at the function level. D2 provides function-level authorization that protects individual tool calls, not just API endpoints. We also offer guardrails (input/output validation) and sequence enforcement (preventing dangerous tool call chains) that are critical for agentic AI security but absent in traditional systems. This makes D2 the best authorization tool for AI agents and LLM-powered applications.

Question 4

What is sequence enforcement for AI agents?

Accepted Answer

Sequence enforcement prevents AI agents from chaining multiple function calls together in dangerous ways. For example, an attacker might try to make an AI agent first query sensitive data, then exfiltrate it via email. D2's sequence enforcement tracks the order of function calls and blocks unauthorized sequences, providing defense-in-depth for agentic AI systems.

Question 5

How fast can I deploy D2 AI agent guardrails?

Accepted Answer

D2 is designed for rapid deployment. You can add AI agent guardrails and authorization to your application in under 5 minutes: install the SDK, add the @d2_guard decorator to your functions, generate a policy template with our CLI, and configure RBAC. No additional infrastructure or complex setup required.

Question 6

Does D2 work with LangChain, LlamaIndex, and other AI frameworks?

Accepted Answer

Yes! D2 is framework-agnostic and works with any Python framework or LLM library. Whether you're using LangChain, LlamaIndex, AutoGPT, or building custom AI agents, D2's decorator-based approach integrates seamlessly. Simply add the @d2_guard decorator to any function your AI agent will call, regardless of the underlying framework.

Frequently Asked Questions

What are AI agent guardrails?

Why do I need authorization for AI agents?

How is D2 different from traditional authorization systems?

What is sequence enforcement for AI agents?

How fast can I deploy D2?

Does D2 work with LangChain, LlamaIndex, and other AI frameworks?

What programming languages does D2 support?

How does D2 handle performance in production?

Can I use D2 in local development mode?

How do I update policies without redeploying my application?

What kind of support do you provide?

Is D2 open source?

Frequently Asked Questions

What are AI agent guardrails?

Why do I need authorization for AI agents?

How is D2 different from traditional authorization systems?

What is sequence enforcement for AI agents?

How fast can I deploy D2?

Does D2 work with LangChain, LlamaIndex, and other AI frameworks?

What programming languages does D2 support?

How does D2 handle performance in production?

Can I use D2 in local development mode?

How do I update policies without redeploying my application?

What kind of support do you provide?

Is D2 open source?