[KongchangAI]
Product

Firedrill

An open-source framework for security testing of AI agents that generates stateful synthetic tools as substitutes for real services, supporting fault injection, permission modification, and call auditing, with integration capabilities for CI/CD pipelines.

Timeline (last 90 days)

Sep 22

Firedrill is an open-source framework for security testing AI agents that allows agents to run in a controlled environment by generating synthetic versions of tools.

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Sep 22

Firedrill's synthetic tools feature a stateful design that maintains state across multiple calls, so content created or modified by an agent is still present the next time it is read.

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Sep 22

Firedrill provides fault injection capabilities, actively introducing errors to observe how an agent responds under abnormal conditions.

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Sep 22

Firedrill supports dynamically adjusting tool permissions to verify how an agent behaves when permissions are restricted.

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Sep 22

Firedrill provides call auditing capabilities that can inspect which tools an Agent called, the order of calls, and what data was modified.

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Sep 22

Firedrill already provides more than 30 toolkits, covering commonly used services such as Gmail, Stripe, and HubSpot.

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Sep 22

Firedrill tests can run directly in PR/CI checks, incorporating Agent behavior verification into the continuous integration workflow.

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Sep 22

Each of Firedrill's toolkits records which portion of the corresponding service's functionality it has implemented.

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Sep 22

The Firedrill project is fully open-source, and the author welcomes community contributions and looks forward to feedback.

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Sep 22

After a Firedrill test concludes, data can be reset at any time, and the Agent will not touch any production data during its run.

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