Giskard

Giskard operates as a black-box testing tool, continuously generating sophisticated attack scenarios to detect vulnerabilities in AI agents. It leverages both internal business context and external threat databases to ensure comprehensive coverage, allowing for proactive monitoring and automated vulnerability detection.

Giskard utilizes a combination of dynamic multi-turn attacks and context-aware vulnerability detection to secure AI agents. Its red teaming engine continuously adapts to new threats, ensuring that AI systems remain robust against evolving security challenges.

Key features of Giskard include automated vulnerability detection, continuous testing of LLM agents, and a collaborative interface for business stakeholders. It also provides granular access controls, compliance with GDPR, and the ability to run tests programmatically via a Python SDK.

Giskard specifically supports Conversational AI agents in text-to-text mode. It operates independently of the internal components of the LLM agent, only requiring access through an API endpoint for effective testing.